{"id":"W1589757453","doi":"","title":"La productivite multifactorielle au Canada: une evaluation de diverses methodes d'estimation des services de capital","year":2007,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Economics; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0224197,0.0006326797,0.001134156,0.0008331536,0.0006231485,0.000293737,0.0008980661,0.0008973626,0.000211154],"category_scores_gemma":[0.002883171,0.0009124807,0.0002428811,0.0004208764,0.0008408191,0.0007677375,0.0007210474,0.00206767,0.00003222713],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02021867,"about_ca_system_score_gemma":0.005533636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6759216,"about_ca_topic_score_gemma":0.7624562,"domain_scores_codex":[0.9931501,0.001165301,0.00151548,0.001996716,0.0002012011,0.001971193],"domain_scores_gemma":[0.9951333,0.001960033,0.0009244134,0.001240908,0.0002868679,0.000454496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001583616,0.0003035604,0.5161749,0.0009089983,0.0002644443,0.00002408524,0.009423528,0.1309372,0.00008870312,0.005198859,0.00002219209,0.3364952],"study_design_scores_gemma":[0.001323616,0.0001166984,0.7201069,0.0003608178,0.00005030082,0.00005069988,0.00493569,0.2089556,0.001695073,0.03788584,0.02324193,0.001276841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522305,0.001748131,0.0004104536,0.0007555735,0.001758543,0.001296209,0.0005529791,0.00003272212,0.04121494],"genre_scores_gemma":[0.9798315,0.006296602,0.01080121,0.00006169841,0.000843388,0.0002680584,0.0002538832,0.0001119518,0.00153175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3352183,"threshold_uncertainty_score":0.9993326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05918521382279138,"score_gpt":0.3189942814695826,"score_spread":0.2598090676467912,"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."}}