{"id":"W6991489247","doi":"","title":"Guide des subventions 2018-2019 : Programme d’aide à la recherche et au transfert (PART) - Volet innovation technologique","year":2018,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology transfer; Social impact; Government (linguistics)","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":[0.008941989,0.00132816,0.001101748,0.007678323,0.004705678,0.007431692,0.003450591,0.002727681,0.06830418],"category_scores_gemma":[0.02010443,0.0009683671,0.0009756084,0.007984183,0.001828421,0.002784193,0.002921927,0.003856679,0.03289325],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05333646,"about_ca_system_score_gemma":0.255397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9571686,"about_ca_topic_score_gemma":0.9675044,"domain_scores_codex":[0.99288,0.0007170776,0.0003223986,0.0003125208,0.004656531,0.001111394],"domain_scores_gemma":[0.9757231,0.001456471,0.0007020999,0.001022464,0.01728822,0.003807694],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004161311,0.00006406086,0.001179488,0.0003669517,0.00001061988,0.00005054026,0.0005952331,0.0002933523,0.0002749637,0.007228731,0.9094421,0.08045238],"study_design_scores_gemma":[0.00001512027,0.000008747797,0.004411064,0.0002861523,0.00000646885,0.00001497339,0.0001852623,0.0000609815,0.0001696807,0.0003333587,0.9944934,0.00001478233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005478284,0.01343918,0.01276406,0.03430543,0.004617729,0.00460084,0.1607124,0.007701563,0.7563804],"genre_scores_gemma":[0.01562166,0.007601523,0.02498643,0.005547327,0.0002206718,0.003038452,0.05856555,0.001494724,0.8829235],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.991058,"threshold_uncertainty_score":0.3869849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08278623854478559,"score_gpt":0.2995494059053613,"score_spread":0.2167631673605757,"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."}}