{"id":"W6906049543","doi":"10.15468/dl.ksnvn7","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.0009657793,0.001939098,0.001524216,0.004906327,0.001047197,0.002528535,0.002746676,0.002117674,0.1500356],"category_scores_gemma":[0.006000739,0.0008542287,0.001300596,0.009417059,0.000452853,0.002417882,0.00253831,0.001964581,0.2226085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552603,"about_ca_system_score_gemma":0.002339778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234531,"about_ca_topic_score_gemma":0.03668763,"domain_scores_codex":[0.9989077,0.0001563947,0.0001348912,0.0003886943,0.0002342458,0.0001780949],"domain_scores_gemma":[0.9973832,0.0007552498,0.0002186442,0.000708549,0.0006577896,0.0002766522],"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":[0.00002956673,0.00001294082,0.0004065116,0.0005120019,0.00001353039,0.00001540589,0.00002413503,0.0001178078,0.000113112,0.0003451535,0.9968988,0.001511076],"study_design_scores_gemma":[0.00006648766,0.000009722116,0.002084411,0.0001993794,0.00001431867,0.0000392953,0.00008963898,0.0001683159,0.0001974765,0.0007510033,0.9963617,0.00001822563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005371718,0.00003093624,0.00004766296,0.0000443386,0.00001473301,0.000006284629,0.9986848,0.0004302619,0.0006873104],"genre_scores_gemma":[0.0001779873,0.00003521687,0.00020604,0.00004841618,0.000004108474,0.00004306126,0.9988355,0.0001390897,0.0005105968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499644,"threshold_uncertainty_score":0.5019192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}