{"id":"W2914963886","doi":"10.1002/asi.24180","title":"Identifying the business model dimensions of data sharing: A value‐based approach","year":2019,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Business value; Knowledge management; Business model; Computer science; Value (mathematics); Data sharing; Value capture; Value network; Knowledge sharing; Dimension (graph theory); Process (computing); Key (lock); Data science; Value creation; Business; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","scholarly_communication","open_science"],"domain":"reproducibility","study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003137316,0.00005948046,0.0001251642,0.0005219195,0.0003021585,0.0002776331,0.001799018,0.00006611408,0.000001974503],"category_scores_gemma":[0.001968674,0.00003015657,0.00002803562,0.002310063,0.0001413633,0.007294774,0.0007051979,0.000126162,0.000005390149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005018395,"about_ca_system_score_gemma":0.0001505937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001143385,"about_ca_topic_score_gemma":0.000001412539,"domain_scores_codex":[0.9987842,0.000002750185,0.0004038766,0.00009379134,0.0005819952,0.000133336],"domain_scores_gemma":[0.9958691,0.00004990695,0.001447412,0.0004269099,0.00220191,0.000004759644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009477929,0.0001820444,0.1608528,0.0006742047,0.0001030308,9.941e-8,0.0004211249,0.03227523,0.007130864,0.759931,0.01122062,0.02711417],"study_design_scores_gemma":[0.0005056566,0.000007885771,0.008755722,0.00008564252,0.00008437864,0.000005808839,0.000713548,0.9415924,0.0007568281,0.01872588,0.02865959,0.0001066365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.714932,0.0001682144,0.2319824,0.03993231,0.002652802,0.001717716,0.00008042635,0.000097998,0.008436141],"genre_scores_gemma":[0.9979015,0.00001212483,0.001486271,0.0005038815,0.00003895357,0.000002657562,0.000008080502,0.000002535285,0.00004401983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9093172,"threshold_uncertainty_score":0.5288535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152250555439661,"score_gpt":0.3239309899107997,"score_spread":0.2087059343668336,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}