{"id":"W6924849030","doi":"10.15468/dl.wmet3c","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":[0.001019388,0.001912123,0.001561108,0.00489665,0.001017804,0.002576841,0.00281735,0.002190188,0.1523122],"category_scores_gemma":[0.006117349,0.000883358,0.001236809,0.00965065,0.0004612089,0.002414165,0.002500431,0.002104369,0.2138945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677201,"about_ca_system_score_gemma":0.002438841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271014,"about_ca_topic_score_gemma":0.03774304,"domain_scores_codex":[0.9988977,0.0001585835,0.0001386206,0.0003815252,0.0002428552,0.0001807773],"domain_scores_gemma":[0.9973048,0.0007783927,0.0002462437,0.000713398,0.0006637975,0.0002934161],"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":[0.00002876734,0.00001168149,0.0003623287,0.0004952197,0.00001403149,0.00001396267,0.00002181116,0.0001286928,0.0001033394,0.0003810042,0.9971104,0.001328895],"study_design_scores_gemma":[0.00007148754,0.000008432658,0.001817283,0.0001969696,0.00001399541,0.00003470462,0.00007626301,0.0001531968,0.0001842984,0.000887736,0.9965373,0.00001831011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003909769,0.00002479812,0.00004027786,0.00003811824,0.00001183739,0.000005132939,0.9989005,0.0003297158,0.0006105509],"genre_scores_gemma":[0.0001536644,0.00003210003,0.0001891802,0.00004624261,0.000003356765,0.00004002773,0.998951,0.00012857,0.0004557992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8476878,"threshold_uncertainty_score":0.509535,"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."}}