{"id":"W2945908415","doi":"10.1287/orsc.2019.1299","title":"Special Issue of<i>Organization Science:</i>Emerging Technologies and Organizing","year":2019,"lang":"en","type":"article","venue":"Organization Science","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Knowledge management; Organization studies; Management science; Data science; Cognitive science; Computer science; Engineering ethics; Sociology; Epistemology; Management; Psychology; Economics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001057363,0.0001502968,0.0001810965,0.001000277,0.0007943026,0.0007281589,0.002315131,0.00006385818,0.0001801989],"category_scores_gemma":[0.002989231,0.0001507021,0.000008961565,0.03208435,0.001162749,0.003990104,0.001537143,0.0001246471,0.0002155397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411947,"about_ca_system_score_gemma":0.0007966198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007693392,"about_ca_topic_score_gemma":8.476268e-7,"domain_scores_codex":[0.9974849,0.00001641454,0.0003658447,0.0007492689,0.001005831,0.0003777136],"domain_scores_gemma":[0.9961135,0.00005702111,0.0002707228,0.0007993823,0.002689967,0.00006939111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[5.863956e-7,0.00004611249,0.1872378,0.00002326168,0.000003815579,0.00000126344,0.004745546,0.0001466115,0.580928,0.1992598,0.0006601963,0.02694704],"study_design_scores_gemma":[0.0003257038,0.00006715806,0.05348208,0.0000473841,0.000007050207,0.00005351706,0.002630689,0.002188855,0.9335544,0.001348375,0.005821401,0.0004734557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7408739,0.00001980708,0.2475621,0.003178063,0.002017168,0.000465868,0.000002272315,0.001001717,0.004879132],"genre_scores_gemma":[0.964196,0.00001235244,0.0352691,0.0001492966,0.0001710727,8.117915e-7,0.000002010692,0.00001874353,0.0001805937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3526264,"threshold_uncertainty_score":0.9884892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00582624787609078,"score_gpt":0.2334093181439181,"score_spread":0.2275830702678273,"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."}}