{"id":"W2321665069","doi":"10.7809/b-e.00219","title":"Vegetation Database of Québec (MRNF)","year":2012,"lang":"en","type":"article","venue":"Biodiversity & Ecology","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Vegetation (pathology); Geography; Database; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005602236,0.000706588,0.000687569,0.006213938,0.001141307,0.001493525,0.0014268,0.0003643896,0.04508166],"category_scores_gemma":[0.002783751,0.0002735469,0.0003268574,0.01128861,0.0002144233,0.0007836605,0.0005903497,0.000531044,0.00883479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01011249,"about_ca_system_score_gemma":0.01163827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.963291,"about_ca_topic_score_gemma":0.9731016,"domain_scores_codex":[0.9995281,0.00003728101,0.00003993822,0.0001084292,0.0001974258,0.000088874],"domain_scores_gemma":[0.9968311,0.0001842573,0.0002383562,0.0002309024,0.002254036,0.000261326],"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":[0.0002449489,0.0000468007,0.03567947,0.0008702373,0.00009829716,0.0001389704,0.0003003174,0.001440221,0.0006862192,0.003785141,0.8836244,0.07308497],"study_design_scores_gemma":[0.00007718363,0.0000174625,0.1167427,0.000337387,0.00005155512,0.00009523519,0.0001936226,0.003004495,0.0005278303,0.0006032511,0.8782897,0.00005965818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003823219,0.000409897,0.000665916,0.00008457775,0.00001421391,0.00006491397,0.9857072,0.0005889123,0.008641147],"genre_scores_gemma":[0.0203811,0.0004050657,0.003095038,0.00006188863,0.00000985752,0.0001700666,0.9689349,0.0001220816,0.006820116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04508166,"threshold_uncertainty_score":0.1508132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024583446185292,"score_gpt":0.1977885541388976,"score_spread":0.1675427196770447,"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."}}