{"id":"W4254383699","doi":"10.1109/dexa.2004.1333545","title":"Innovation diffusion: predicting success of system development","year":2004,"lang":"en","type":"article","venue":"Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004.","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Observability; Computer science; Innovation diffusion; Measure (data warehouse); Knowledge management; Data mining; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003823937,0.0009928046,0.0006742027,0.003157749,0.0003328885,0.001206825,0.0006175555,0.001222539,0.002422167],"category_scores_gemma":[0.03364613,0.0003368357,0.0007774468,0.002059238,0.0004590203,0.00193555,0.0008121568,0.001011442,0.0006084046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031706,"about_ca_system_score_gemma":0.0007130567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008320876,"about_ca_topic_score_gemma":0.00562694,"domain_scores_codex":[0.9985374,0.0007206898,0.0001139904,0.0001805884,0.0003473812,0.00009997225],"domain_scores_gemma":[0.9815155,0.01479676,0.001752147,0.0006081783,0.0009531367,0.0003742126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001653754,0.0002713953,0.1768618,0.0002125742,0.0002840528,0.0001121624,0.0003290554,0.7482573,0.0009823587,0.01001431,0.001901824,0.06060777],"study_design_scores_gemma":[0.00001526805,0.0001662459,0.01239178,0.00002478573,0.00002101556,0.00005415125,0.00005376695,0.9799637,0.000513449,0.006160669,0.0006176307,0.00001750442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7870738,0.0008469452,0.2014768,0.001172564,0.00006645179,0.0003449483,0.001306492,0.0008636002,0.006848383],"genre_scores_gemma":[0.9676533,0.0002826089,0.03046031,0.00002799988,0.00002534951,0.0001551832,0.000623505,0.00002977966,0.0007420036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008320876,"threshold_uncertainty_score":0.02022314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07626525899211412,"score_gpt":0.3573026237047076,"score_spread":0.2810373647125935,"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."}}