{"id":"W6981049372","doi":"","title":"Déterminants de la performance des projets de recherche et développement (R&D) des centres de liaison et de transfert (CLT) du Québec : cas du Centre québécois de recherche et de développement de l’aluminium (CQRDA)","year":2018,"lang":"fr","type":"other","venue":"Constellation (Université du Québec à Chicoutimi)","topic":"Livestock Management and Performance Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Management by objectives; Context (archaeology); Occupational training; Public management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00749892,0.0009920434,0.0006976199,0.0002261755,0.001154348,0.0003691171,0.001084907,0.001466322,0.02377373],"category_scores_gemma":[0.0004921609,0.0007401259,0.0003743524,0.0006361767,0.001107553,0.0005576619,0.0003665077,0.001245796,0.0001398478],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01486164,"about_ca_system_score_gemma":0.009587273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2411403,"about_ca_topic_score_gemma":0.6589965,"domain_scores_codex":[0.9915227,0.004435037,0.0006729322,0.0009775006,0.0005018623,0.001890024],"domain_scores_gemma":[0.9963381,0.001788676,0.0005291065,0.0003399591,0.0002768763,0.0007272651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004769429,0.0006374951,0.768728,0.0005926708,0.0003674135,0.00006023018,0.07996685,0.0005170803,0.004778658,0.0006340727,0.02509884,0.1181417],"study_design_scores_gemma":[0.001688449,0.0006591865,0.7052824,0.00132654,0.0005552428,0.0001818796,0.009444568,0.005799843,0.003244597,0.0005707293,0.2698708,0.001375744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8558114,0.0006803956,0.004486647,0.02323422,0.000162064,0.001233294,0.00005880093,0.0002234549,0.1141097],"genre_scores_gemma":[0.8944323,0.02617751,0.02399107,0.003893709,0.0006677106,0.00005243738,0.0001681894,0.00009703504,0.05052001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4178562,"threshold_uncertainty_score":0.99983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08753099478545108,"score_gpt":0.3139157057513605,"score_spread":0.2263847109659095,"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."}}