{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004941686,0.0005212089,0.0005472648,0.00225407,0.002009053,0.0058182,0.001220431,0.0008685043,0.008809423],"category_scores_gemma":[0.01575667,0.0002875107,0.0006508817,0.003484181,0.002060277,0.001740379,0.001607487,0.001317053,0.0007762882],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04447101,"about_ca_system_score_gemma":0.05555262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9084068,"about_ca_topic_score_gemma":0.9470876,"domain_scores_codex":[0.9955254,0.001400411,0.0001521377,0.000484952,0.001571345,0.0008657051],"domain_scores_gemma":[0.9760882,0.007989873,0.002995894,0.0007842642,0.009411678,0.002730195],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001843989,0.000134258,0.8273014,0.0007260584,0.000364057,0.0002841965,0.009330656,0.007540204,0.001036935,0.03617214,0.01186297,0.1050628],"study_design_scores_gemma":[0.00001320119,0.0001130403,0.9410858,0.0006279635,0.0001478952,0.00004675598,0.01258873,0.006308742,0.0008146627,0.003248706,0.03492915,0.00007529424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.842452,0.0069476,0.0135518,0.02935359,0.0001868261,0.0003686011,0.00408723,0.0001792614,0.1028732],"genre_scores_gemma":[0.9829133,0.00126096,0.002224317,0.0003995853,0.00002089173,0.00007801316,0.0004256062,0.00002248048,0.0126549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9950583,"threshold_uncertainty_score":0.3226613,"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."}}