{"id":"W6945331311","doi":"10.25318/3210027301-fra","title":"Expéditions d'engrais vers le marché agricole canadien et les marchés d'exportation, selon le type de produit et la campagne de fertilisation","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Tree (set theory); Identity (music)","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":[0.0006302987,0.001551173,0.001001372,0.006751222,0.001035842,0.001787808,0.001465682,0.0008762935,0.02912538],"category_scores_gemma":[0.004586251,0.0005304266,0.0009022145,0.0155203,0.0004505511,0.0008163304,0.001001825,0.001154597,0.0247909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005153131,"about_ca_system_score_gemma":0.01008798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.752174,"about_ca_topic_score_gemma":0.8708728,"domain_scores_codex":[0.9992526,0.00006276151,0.00007998717,0.0001868114,0.0002655776,0.0001523823],"domain_scores_gemma":[0.9972419,0.0004259646,0.000232171,0.0003662699,0.001502118,0.0002315205],"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":[0.00009343697,0.00001494095,0.00568724,0.0007853514,0.00005785517,0.00004586394,0.00008518445,0.0005888617,0.0001764778,0.0005574262,0.986212,0.005695313],"study_design_scores_gemma":[0.00008421289,0.000007911171,0.03720513,0.0003429841,0.00003617668,0.00004066657,0.0002486893,0.000408434,0.0003425516,0.0003868934,0.9608561,0.00004015552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003898241,0.0001084622,0.0000388243,0.00004458553,0.00001653084,0.000005923079,0.9981415,0.0001348823,0.001119441],"genre_scores_gemma":[0.001064307,0.0001583006,0.0002515848,0.00002127295,0.000005668036,0.00003025261,0.9965895,0.00004549232,0.001833511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.247826,"threshold_uncertainty_score":0.4985709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208620270968798,"score_gpt":0.2793625781225381,"score_spread":0.2672763754128502,"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."}}