{"id":"W6905838859","doi":"10.15468/dl.slbfys","title":"Occurrence Download","year":2018,"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); Identification (biology); 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":[0.0007811356,0.001927938,0.001530756,0.005036945,0.0009606563,0.002699717,0.002849693,0.001885489,0.1438814],"category_scores_gemma":[0.005515158,0.000836749,0.001301178,0.01045934,0.0004181913,0.002368057,0.002600135,0.001986034,0.2174931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522527,"about_ca_system_score_gemma":0.002258734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033726,"about_ca_topic_score_gemma":0.03344167,"domain_scores_codex":[0.9990514,0.0001187851,0.0001266682,0.0003434265,0.0002033717,0.000156219],"domain_scores_gemma":[0.9979662,0.0005304734,0.0001846338,0.0005551629,0.0005287294,0.0002349031],"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":[0.00002950974,0.00001048684,0.0004537356,0.0005710891,0.00001631868,0.00001621582,0.00002405581,0.0001394841,0.0001066717,0.000378115,0.9964585,0.001795734],"study_design_scores_gemma":[0.00006282391,0.00000786113,0.001877155,0.0001895882,0.00001497775,0.00004141957,0.00007853902,0.0001832163,0.0001725972,0.0007633564,0.9965926,0.00001576288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005059065,0.00003655534,0.00005229009,0.000040388,0.00001456981,0.000005322446,0.9986601,0.000449631,0.0006906246],"genre_scores_gemma":[0.0001698322,0.00004092066,0.0002019498,0.00004118178,0.000003803187,0.00003685752,0.9988663,0.0001363912,0.0005028248],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8561186,"threshold_uncertainty_score":0.4813313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}