{"id":"W6943526690","doi":"10.15468/dl.ma9vex","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundfish; Herring; Download; Biodiversity; Nova scotia; Range (aeronautics); Matching (statistics); Benthic zone","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000990364,0.001820806,0.001743946,0.005689777,0.001068194,0.003022362,0.002763096,0.001928223,0.2341683],"category_scores_gemma":[0.00635492,0.0009524563,0.001229825,0.01116219,0.0004210803,0.002605001,0.002982871,0.00182028,0.2836111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619896,"about_ca_system_score_gemma":0.002431276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956768,"about_ca_topic_score_gemma":0.03034474,"domain_scores_codex":[0.9989113,0.0001308529,0.0001496223,0.0003925734,0.0002207869,0.0001949373],"domain_scores_gemma":[0.9976217,0.0006666746,0.000220658,0.0005577698,0.0006462618,0.0002870292],"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":[0.00003046986,0.000008746287,0.000350989,0.0006591942,0.00001471386,0.00001383357,0.00002355305,0.0001079371,0.00009997898,0.0003541292,0.9964641,0.00187245],"study_design_scores_gemma":[0.00006678625,0.00000786315,0.001583466,0.0002302185,0.00001394857,0.00003357737,0.000073223,0.0001295143,0.0001521035,0.0007828403,0.9969096,0.00001700872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002832523,0.00002516129,0.00003966343,0.00003177614,0.00001135929,0.000004991454,0.9989424,0.0003286118,0.0005876644],"genre_scores_gemma":[0.0001501564,0.00004281956,0.0002053507,0.0000515623,0.000004401183,0.00004643483,0.9987401,0.0001850893,0.0005741405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7658317,"threshold_uncertainty_score":0.7833711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}