{"id":"W7037935752","doi":"","title":"Étude des données sur le potentiel apicole et développement d'un système d'aide à la décision impliquant une plateforme de cartographie web","year":2024,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coastal zone; Beach morphodynamics; Motion study","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":[],"consensus_categories":[],"category_scores_codex":[0.009828217,0.001175884,0.0009012436,0.004581204,0.002234701,0.0071488,0.001788325,0.001924038,0.02409606],"category_scores_gemma":[0.01785039,0.0008712723,0.001180818,0.004792351,0.001455144,0.004695227,0.002015735,0.001300842,0.01020022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005262814,"about_ca_system_score_gemma":0.01000253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2104475,"about_ca_topic_score_gemma":0.1745472,"domain_scores_codex":[0.9941941,0.00114816,0.0003204896,0.0008633186,0.003214446,0.0002595347],"domain_scores_gemma":[0.9748263,0.008644025,0.0007864722,0.00255394,0.01260634,0.0005830583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001011897,0.0003548657,0.0241829,0.003579993,0.0002767577,0.001199368,0.01426473,0.01466609,0.06755055,0.01096019,0.03254125,0.8294114],"study_design_scores_gemma":[0.0001596305,0.0007495286,0.09049147,0.002296714,0.0006153199,0.001010942,0.008998236,0.07274181,0.1224062,0.005997053,0.6939708,0.0005623923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2770283,0.009150244,0.4768235,0.006546576,0.0006143936,0.002417214,0.02314084,0.01566147,0.1886174],"genre_scores_gemma":[0.4528977,0.007336649,0.3387442,0.0008492009,0.0001403822,0.001127214,0.02373131,0.002681707,0.1724916],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2104475,"threshold_uncertainty_score":0.4184451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240601390467225,"score_gpt":0.2194174388322972,"score_spread":0.1953572997855747,"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."}}