{"id":"W7020165160","doi":"","title":"La dynamique sociale des innovations en milieu de travail dans le secteur des industries métallurgiques du Québec","year":2008,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Round table; Manufacturing sector; Secondary sector of the economy; Social economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001429206,0.0002092499,0.0003166454,0.001638858,0.004186722,0.003747553,0.0006472462,0.0006580392,0.008748084],"category_scores_gemma":[0.003424062,0.0001538269,0.0003082487,0.002779723,0.002533777,0.001253428,0.001573466,0.0007100012,0.0003556457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03842189,"about_ca_system_score_gemma":0.02391371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9346151,"about_ca_topic_score_gemma":0.9646621,"domain_scores_codex":[0.9988151,0.0003180399,0.00002862591,0.0001931815,0.000316231,0.0003289499],"domain_scores_gemma":[0.9960585,0.001297273,0.0005744029,0.0001339001,0.00142612,0.0005099186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002329296,0.0002194623,0.5708672,0.0004292407,0.0002087769,0.0008534777,0.2305466,0.008392523,0.004110743,0.06118925,0.006556738,0.1163931],"study_design_scores_gemma":[0.00001790325,0.0000954469,0.7679314,0.0002771894,0.00008080659,0.00008525334,0.1655267,0.004970645,0.000747759,0.00307325,0.05712597,0.00006763998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619587,0.0006397464,0.00183637,0.001781091,0.00001424067,0.00007019191,0.0004993172,0.00001924675,0.03318119],"genre_scores_gemma":[0.9840387,0.0004027196,0.0004983215,0.0001101382,0.000003768552,0.00004910412,0.0001222404,0.000006362959,0.01476863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06538486,"threshold_uncertainty_score":0.2787716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022073707288889,"score_gpt":0.2089780257078645,"score_spread":0.1987572886349756,"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."}}