{"id":"W6906096774","doi":"10.15468/dl.tts6ex","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; Set (abstract data type)","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":[0.001093272,0.001980581,0.001645886,0.00512108,0.001106203,0.002642594,0.002981319,0.002058548,0.1626888],"category_scores_gemma":[0.00609515,0.0009592304,0.001153605,0.01013163,0.0004652792,0.002388386,0.00268453,0.002094811,0.2226294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716156,"about_ca_system_score_gemma":0.002524305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239877,"about_ca_topic_score_gemma":0.04111508,"domain_scores_codex":[0.9989024,0.0001437136,0.0001427623,0.0003756782,0.0002544858,0.0001808763],"domain_scores_gemma":[0.9975013,0.0006899352,0.0002349881,0.0006432758,0.0006427874,0.0002876324],"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":[0.00002680869,0.00001103143,0.0003484362,0.0005009074,0.00001344441,0.00001531565,0.0000247419,0.0001096397,0.0001213775,0.0003967616,0.9971168,0.001314743],"study_design_scores_gemma":[0.00006284208,0.000006718526,0.001711937,0.0001750336,0.00001277039,0.00003525908,0.00007169032,0.0001251893,0.0001894012,0.0006932536,0.9968988,0.00001719165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000380905,0.00002315253,0.00004604804,0.00003314167,0.00001112313,0.000005002079,0.9988202,0.000355653,0.0006674154],"genre_scores_gemma":[0.0001477482,0.00002915675,0.0001966858,0.00004027217,0.00000297629,0.00004122889,0.9989234,0.0001563685,0.0004621582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373111,"threshold_uncertainty_score":0.5442483,"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."}}