{"id":"W4401418809","doi":"10.18162/fp.2024.a321","title":"Un pont entre milieux universitaire et scolaire : une collaboration gagnante pour atténuer les effets de la pénurie","year":2024,"lang":"fr","type":"article","venue":"Formation et profession","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Cégep Marie-Victorin","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0336609,0.0009522089,0.001191938,0.001896323,0.006269983,0.007666146,0.002106295,0.004607429,0.02698296],"category_scores_gemma":[0.06580573,0.000565312,0.00142459,0.001830841,0.003024473,0.007887521,0.01827442,0.004999302,0.003064255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005438244,"about_ca_system_score_gemma":0.03988092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005889912,"about_ca_topic_score_gemma":0.009777004,"domain_scores_codex":[0.9606359,0.0289782,0.001112755,0.001640352,0.004566554,0.00306616],"domain_scores_gemma":[0.9237527,0.03871564,0.004660387,0.003461493,0.008392474,0.02101726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002274719,0.00278824,0.0250634,0.004655062,0.0005113963,0.001013217,0.03189542,0.001182589,0.00229039,0.02802615,0.03903306,0.8612664],"study_design_scores_gemma":[0.004516005,0.01414619,0.1616392,0.02781281,0.001837109,0.00271729,0.1194419,0.005450857,0.007591272,0.1243858,0.5299699,0.0004916014],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3400268,0.04902498,0.05979826,0.3066346,0.007348831,0.005263234,0.00079845,0.001256781,0.2298481],"genre_scores_gemma":[0.8722948,0.01111694,0.06729164,0.01435451,0.001236896,0.004133389,0.0003171515,0.0002228621,0.02903187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0336609,"threshold_uncertainty_score":0.178018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885180616385614,"score_gpt":0.4238390664731826,"score_spread":0.3749872603093264,"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."}}