{"id":"W7097422888","doi":"","title":"Industry Affects Do Not Explain Momentum in Canadian","year":2001,"lang":"en","type":"article","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Government (linguistics); Noise (video); Production (economics)","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":[0.001702035,0.0004373225,0.0006825409,0.0022791,0.00423632,0.004968288,0.001849429,0.001734351,0.01829071],"category_scores_gemma":[0.01900047,0.0004391803,0.0008496253,0.00428475,0.001308755,0.002031676,0.001650701,0.001963088,0.0009676786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0393455,"about_ca_system_score_gemma":0.04781361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943427,"about_ca_topic_score_gemma":0.996363,"domain_scores_codex":[0.9986442,0.00005708114,0.00005683854,0.0001754668,0.0003893726,0.0006770932],"domain_scores_gemma":[0.9899138,0.00195441,0.002011093,0.000542683,0.003485538,0.002092471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006434253,0.0001035666,0.931213,0.0000752843,0.0002233936,0.000399502,0.002431646,0.003918875,0.0003317225,0.01760579,0.021846,0.02120776],"study_design_scores_gemma":[0.00006804258,0.00002777583,0.9672408,0.00009464235,0.0002635956,0.00007004486,0.004366496,0.003880678,0.0003568813,0.004497201,0.01905988,0.00007417116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925262,0.00200419,0.0003558224,0.01048705,0.0001485464,0.00003087174,0.004981047,0.000104731,0.05662586],"genre_scores_gemma":[0.9900413,0.0004708736,0.00006541638,0.0002370568,0.000029766,0.000003990961,0.0009333345,0.00002463914,0.008193667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0393455,"threshold_uncertainty_score":0.2854729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06902527407796842,"score_gpt":0.2256678542737578,"score_spread":0.1566425801957894,"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."}}