{"id":"W4234191829","doi":"10.22215/timreview750","title":"From Idea Crowdsourcing to Managing User Knowledge","year":2013,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Tekes","keywords":"Crowdsourcing; Competitor analysis; User innovation; Knowledge management; Open innovation; Business; Value (mathematics); Marketing; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01611836,0.0009321096,0.001224092,0.006232481,0.0021703,0.008686873,0.004036206,0.003305439,0.01113242],"category_scores_gemma":[0.03608494,0.0004739828,0.0007996366,0.008634894,0.004630474,0.00934427,0.006772509,0.001823672,0.002176874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004548979,"about_ca_system_score_gemma":0.005316205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007723382,"about_ca_topic_score_gemma":0.005941004,"domain_scores_codex":[0.9860103,0.006254979,0.0004983804,0.001363686,0.005302827,0.0005698818],"domain_scores_gemma":[0.9547496,0.02925895,0.003566726,0.006301217,0.004887604,0.001235847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001447595,0.0001732638,0.005730131,0.002174875,0.0002279331,0.0003704606,0.003812999,0.01318249,0.001344906,0.2195785,0.02909644,0.7241632],"study_design_scores_gemma":[0.00007306827,0.00009741232,0.00531917,0.001538783,0.0001026562,0.0003697149,0.003947315,0.0440174,0.002418157,0.6790699,0.2629171,0.000129442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07120218,0.1119541,0.4608568,0.05454725,0.001706781,0.001250266,0.001257209,0.001714436,0.295511],"genre_scores_gemma":[0.8047631,0.03834356,0.1148994,0.003272454,0.001889958,0.0007656269,0.0008396193,0.0002769637,0.03494938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01611836,"threshold_uncertainty_score":0.08524305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805107776240024,"score_gpt":0.2937640625208008,"score_spread":0.2757129847584006,"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."}}