{"id":"W6983063586","doi":"","title":"Le modèle québécois en agriculture : étude sur les perceptions des agriculteurs/agricultrices","year":2021,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qualitative analysis; Landscaping; Farm workers","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003136528,0.0006563581,0.001032942,0.0007809027,0.0006839375,0.00009309814,0.003216881,0.0008511545,0.0004288368],"category_scores_gemma":[0.0001930917,0.0007077573,0.0005139219,0.001618029,0.001166,0.0005083145,0.001439524,0.001029596,0.0000981999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000530693,"about_ca_system_score_gemma":0.0007363189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.890067,"about_ca_topic_score_gemma":0.9973472,"domain_scores_codex":[0.996321,0.0006951963,0.0004312005,0.001205527,0.0005716001,0.000775511],"domain_scores_gemma":[0.9972646,0.0005813977,0.00056747,0.001002054,0.0003787836,0.0002056474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003299689,0.001729143,0.004662564,0.0007631086,0.0003935647,0.0009891329,0.1905959,0.005611238,0.003416844,0.09808929,0.01286339,0.6808528],"study_design_scores_gemma":[0.001097123,0.0001708088,0.8797288,0.001686996,0.0001406849,0.00009319063,0.07766987,0.002753796,0.00004257565,0.006346211,0.0290349,0.001235049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8847785,0.008484446,0.03812971,0.004653999,0.0004411411,0.0007018677,0.00006799475,0.0005950636,0.0621473],"genre_scores_gemma":[0.7246633,0.002462993,0.06903816,0.00004004835,0.0001753716,0.000003851088,0.0001084935,0.00008173347,0.203426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8750662,"threshold_uncertainty_score":0.9995373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665111694522764,"score_gpt":0.1815853829962878,"score_spread":0.1649342660510601,"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."}}