{"id":"W6987935020","doi":"","title":"Ãvaluation des rendements en fonction de différents moyens de protection de la vigne contre le gel hivernal au Québec","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Closure (psychology); Yield (engineering); Limiting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008595416,0.0003274912,0.0002750763,0.001830495,0.001700259,0.001597462,0.0007276745,0.0008267621,0.03213226],"category_scores_gemma":[0.004968123,0.0002159371,0.0004498705,0.001546894,0.0005160541,0.0006493866,0.000781569,0.000677282,0.004559387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006215467,"about_ca_system_score_gemma":0.002534396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7527314,"about_ca_topic_score_gemma":0.8471039,"domain_scores_codex":[0.9992597,0.000107163,0.00002060606,0.0001542064,0.0002765374,0.0001818826],"domain_scores_gemma":[0.9957362,0.0008813298,0.0005160478,0.0002069724,0.001987167,0.0006723035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002836215,0.0002782462,0.8425986,0.0002325038,0.0002132956,0.0005632592,0.006977373,0.003441633,0.006599134,0.002667993,0.01544583,0.1181461],"study_design_scores_gemma":[0.00000523043,0.00005474733,0.9863717,0.00001574663,0.00001591779,0.00004243978,0.001828011,0.0006877278,0.0007173258,0.00006778294,0.01017649,0.00001701785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456018,0.0004956885,0.0008310069,0.0004198105,0.00005546524,0.00005020338,0.008586415,0.0002230198,0.04373663],"genre_scores_gemma":[0.876154,0.000311745,0.001137563,0.00007461856,0.00001930734,0.00003668942,0.004034913,0.00009034066,0.1181408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2472686,"threshold_uncertainty_score":0.4974496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003546623775982286,"score_gpt":0.1573779413868606,"score_spread":0.1538313176108783,"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."}}