{"id":"W6948001283","doi":"10.4224/21275217","title":"Évaluation du Programme d'aide à la recherche industrielle du CNRC (PARI-CNRC) : rapport final","year":2012,"lang":"fr","type":"report","venue":"","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Context (archaeology); Work (physics); Technology transfer; Public policy","routes":{"ca_aff":false,"ca_fund":true,"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":[0.04741022,0.001263265,0.001167646,0.006426053,0.001829893,0.005610667,0.001752583,0.001135878,0.007001123],"category_scores_gemma":[0.03994161,0.000574205,0.0008768205,0.007493762,0.001567707,0.001742836,0.003443554,0.001689572,0.001663017],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03325191,"about_ca_system_score_gemma":0.1090368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4473956,"about_ca_topic_score_gemma":0.3279648,"domain_scores_codex":[0.9159933,0.01588238,0.002254424,0.002162447,0.05876063,0.004946764],"domain_scores_gemma":[0.9465402,0.00462862,0.002057782,0.001457096,0.04249894,0.002817341],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003301452,0.001408505,0.05349556,0.004324007,0.0003426022,0.0004585797,0.003519471,0.01263909,0.006173033,0.03903186,0.127188,0.7481177],"study_design_scores_gemma":[0.0005451473,0.002527799,0.2128257,0.001700444,0.0002119651,0.0002140854,0.002348622,0.00438095,0.01505954,0.002071842,0.7579829,0.0001310592],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2472882,0.02753424,0.03245189,0.016012,0.002677295,0.02924103,0.07449069,0.001157365,0.5691473],"genre_scores_gemma":[0.6141441,0.02174694,0.08055227,0.002520734,0.0004706529,0.0155725,0.05267175,0.0007809674,0.21154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9667481,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9250167258540972,"score_gpt":0.3006088792123051,"score_spread":0.6244078466417922,"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."}}