{"id":"W4298270099","doi":"","title":"Gestion de la diversité: 3 études de cas","year":2004,"lang":"fr","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002607749,0.001327468,0.001161552,0.003659665,0.005142887,0.008158227,0.001257757,0.00241953,0.01964512],"category_scores_gemma":[0.008452682,0.0004263099,0.001694316,0.004776482,0.004536007,0.003326179,0.002186368,0.002592493,0.001958881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008008175,"about_ca_system_score_gemma":0.002659288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1194723,"about_ca_topic_score_gemma":0.07855336,"domain_scores_codex":[0.9967636,0.001026831,0.0001154814,0.0005902303,0.001005276,0.0004986085],"domain_scores_gemma":[0.9962217,0.002148577,0.0003288401,0.0004043584,0.0006225975,0.0002738328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001216908,0.0006655186,0.105456,0.0009564107,0.000428199,0.005976399,0.01788768,0.01426145,0.004862218,0.4633782,0.02279987,0.3621112],"study_design_scores_gemma":[0.0002877619,0.0006061504,0.2421277,0.001156631,0.0005655733,0.0238443,0.03721031,0.03097751,0.01066677,0.1192174,0.5329155,0.0004243254],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6528172,0.02490199,0.05741743,0.004888448,0.000544538,0.0002424427,0.001714547,0.001028169,0.2564453],"genre_scores_gemma":[0.93602,0.006613062,0.008134984,0.0003163487,0.0002991369,0.0001793705,0.0007278795,0.0002596016,0.04744971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1194723,"threshold_uncertainty_score":0.2375538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397381804462194,"score_gpt":0.2338723221849129,"score_spread":0.219898504140291,"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."}}