{"id":"W1518223716","doi":"","title":"Utilisation de l'eau, prix fictifs et productivite du secteur canadien des entreprises","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003173527,0.0005812221,0.0005093567,0.000367062,0.0005511223,0.0002421595,0.0009040108,0.0004875454,0.002169192],"category_scores_gemma":[0.0008490892,0.000700234,0.0001721393,0.0003249128,0.001776649,0.0006022365,0.002027601,0.001530972,0.0002792365],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02723352,"about_ca_system_score_gemma":0.001351374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04483333,"about_ca_topic_score_gemma":0.02686191,"domain_scores_codex":[0.9943706,0.0006788692,0.0007370873,0.001670364,0.0004773588,0.002065733],"domain_scores_gemma":[0.9978201,0.0003381367,0.0002378989,0.001004493,0.00002774008,0.0005716229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001200287,0.0005039248,0.5148082,0.0002871708,0.00009397687,0.0001858892,0.01472217,0.2658291,0.0009228939,0.0007766096,0.0001296269,0.2016205],"study_design_scores_gemma":[0.0008072394,0.0001427581,0.9014627,0.0002395114,0.00001860662,0.00009506141,0.005388884,0.003861845,0.00179331,0.008844832,0.07646231,0.000882939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344862,0.0001248396,0.00001131122,0.002156248,0.0003342394,0.001284777,0.00004794629,0.00004087522,0.06151356],"genre_scores_gemma":[0.9642379,0.01675585,0.001671055,0.0001968101,0.0002843201,0.0003548532,0.0001141894,0.0001037813,0.01628128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3866545,"threshold_uncertainty_score":0.9995449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818305314538202,"score_gpt":0.2603719714171044,"score_spread":0.2421889182717224,"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."}}