{"id":"W6962310481","doi":"10.15468/dl.vmnrq2","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); Listing (finance); Range (aeronautics); Work (physics)","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":[0.000906485,0.001748719,0.001432454,0.00488617,0.001088963,0.00284559,0.002764908,0.001842755,0.2102809],"category_scores_gemma":[0.006459691,0.001012078,0.001182419,0.00942173,0.0004220414,0.002568251,0.002847008,0.0019999,0.2622842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770159,"about_ca_system_score_gemma":0.002436376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0230807,"about_ca_topic_score_gemma":0.0373457,"domain_scores_codex":[0.9990657,0.0001086935,0.0001195985,0.0003285878,0.0002170748,0.0001603362],"domain_scores_gemma":[0.9975266,0.000671228,0.000203084,0.0006546778,0.0006801472,0.0002642664],"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":[0.00002410237,0.000008449247,0.0003241809,0.0004836142,0.00001145218,0.0000128093,0.00002269022,0.00008874707,0.00009389959,0.0004163738,0.9968526,0.001661139],"study_design_scores_gemma":[0.00005125345,0.000005261011,0.001377345,0.0001808376,0.00001057016,0.00003012851,0.00006533229,0.0001170825,0.000158043,0.000744072,0.9972461,0.00001393299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003007033,0.00002123317,0.00005195821,0.00003552161,0.00001103197,0.000005321033,0.9985683,0.0004538478,0.000822718],"genre_scores_gemma":[0.0001694328,0.00003925739,0.000269777,0.00005303765,0.00000378929,0.00004830501,0.9985303,0.0002398808,0.0006463727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7897192,"threshold_uncertainty_score":0.7034595,"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."}}