{"id":"W6943697291","doi":"10.15468/dl.sswe3s","title":"Occurrence Download","year":2022,"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); Data set","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":[0.001034364,0.002008626,0.001653368,0.005012771,0.001057629,0.002758769,0.002910837,0.002159033,0.1787609],"category_scores_gemma":[0.006305903,0.0009906352,0.001179192,0.009946011,0.0004559557,0.002616595,0.002698426,0.002140372,0.2475137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618145,"about_ca_system_score_gemma":0.002358094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02096789,"about_ca_topic_score_gemma":0.03625853,"domain_scores_codex":[0.9988812,0.0001562309,0.0001370681,0.0003990908,0.0002438507,0.0001826014],"domain_scores_gemma":[0.9972494,0.0007789792,0.0002471179,0.0007373725,0.0006695144,0.0003174588],"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":[0.0000252396,0.00001040845,0.0003065628,0.0004628472,0.000012331,0.00001273386,0.00002094868,0.0001073265,0.00008860732,0.0003656606,0.9974208,0.001166676],"study_design_scores_gemma":[0.00006862186,0.000007404958,0.001500633,0.0001741691,0.00001223207,0.00003207512,0.00006744223,0.0001341365,0.0001558548,0.0008114607,0.9970189,0.00001708035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003624069,0.00002452814,0.000045146,0.00003728673,0.00001217093,0.000005067488,0.9987941,0.0003724959,0.0006730141],"genre_scores_gemma":[0.0001497473,0.00003284024,0.0001985367,0.0000483527,0.00000355911,0.00004118975,0.9988291,0.0001692769,0.0005275278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8212391,"threshold_uncertainty_score":0.5980149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}