{"id":"W6926314824","doi":"10.25318/3810011201-fra","title":"Certaines activités agricoles, toutes les aires de drainage principales et sous-aires de drainage avec agriculture","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage; Drainage basin; Drainage system (geomorphology); Agricultural land","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":[0.001059131,0.001646188,0.001111917,0.008010759,0.0009037128,0.002049024,0.001567248,0.001174866,0.02984939],"category_scores_gemma":[0.009731099,0.0005516841,0.001281505,0.01484846,0.000520963,0.001312209,0.001148465,0.001396121,0.02676007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004259596,"about_ca_system_score_gemma":0.007702587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2780849,"about_ca_topic_score_gemma":0.4337363,"domain_scores_codex":[0.9980824,0.0002093097,0.0003532631,0.0005096596,0.0005609019,0.000284561],"domain_scores_gemma":[0.9954472,0.001338136,0.0005113176,0.0006088914,0.001850693,0.0002436822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001378032,0.00004745784,0.0158148,0.002265568,0.0001022765,0.00006096946,0.0002063357,0.0007460683,0.00043562,0.00139916,0.96518,0.01360396],"study_design_scores_gemma":[0.00007156561,0.00001298805,0.04261597,0.0004785461,0.00004324205,0.00006028935,0.0003689113,0.0003335588,0.0005787322,0.0005259928,0.9548742,0.00003592695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006659025,0.0001167918,0.00007586714,0.0000674804,0.00002316405,0.00001177898,0.9973938,0.0001017258,0.001543523],"genre_scores_gemma":[0.001881981,0.0001838127,0.0003562078,0.0000369036,0.000009993831,0.00008514278,0.9953603,0.00003974481,0.002045838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7219151,"threshold_uncertainty_score":0.5529325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176861902512484,"score_gpt":0.3278795145568333,"score_spread":0.3101933243055849,"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."}}