{"id":"W7097579200","doi":"","title":"PRODUCTIVITY IN THE QUEBEC MANUFACTURING SECTOR","year":2011,"lang":"en","type":"article","venue":"","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporation; Productivity; Private sector; Manufacturing sector; Private enterprise; Public sector","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":[0.0008685522,0.0003011287,0.0002245739,0.003151209,0.002503706,0.003590454,0.0009272525,0.0006270058,0.02443651],"category_scores_gemma":[0.003711591,0.0001651473,0.000227677,0.006390512,0.0006764035,0.000709063,0.0009343936,0.0006068572,0.002228884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07177108,"about_ca_system_score_gemma":0.04555487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880657,"about_ca_topic_score_gemma":0.9908034,"domain_scores_codex":[0.9985729,0.00011671,0.0000396942,0.0001159408,0.0005272721,0.0006275284],"domain_scores_gemma":[0.9947408,0.0004099517,0.0005596922,0.0001180914,0.002272495,0.0018989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003383656,0.000241908,0.6410341,0.000436829,0.0001128746,0.001324713,0.007163295,0.003739138,0.001498293,0.01284546,0.179074,0.1521911],"study_design_scores_gemma":[0.00001211508,0.00003573474,0.9369422,0.0001181286,0.00001047677,0.00005675713,0.004398,0.0015384,0.0001322769,0.0001581724,0.05657808,0.00001976307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8175864,0.00673105,0.0005908944,0.01433442,0.0003300137,0.000161129,0.01960963,0.0002478822,0.1404086],"genre_scores_gemma":[0.941902,0.001572716,0.0001665975,0.0005744778,0.00004206584,0.00003857124,0.004117187,0.00002109233,0.05156513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07177108,"threshold_uncertainty_score":0.5207381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07668136729594935,"score_gpt":0.2925689585987288,"score_spread":0.2158875913027795,"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."}}