{"id":"W6905877783","doi":"10.15468/dl.q3nzz6","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); Alien; Range (aeronautics)","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":[0.001003028,0.001923304,0.001568726,0.004710427,0.0009915989,0.002524225,0.002654756,0.002092513,0.14685],"category_scores_gemma":[0.006180459,0.0008949818,0.001293951,0.008904122,0.0004351906,0.002318232,0.002507786,0.002002246,0.2104003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150366,"about_ca_system_score_gemma":0.002240403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01937387,"about_ca_topic_score_gemma":0.03033947,"domain_scores_codex":[0.9989597,0.0001502324,0.000134407,0.0003680678,0.0002206591,0.0001668831],"domain_scores_gemma":[0.9974438,0.0007735036,0.0002255502,0.000676034,0.0006008663,0.0002802887],"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":[0.00003185088,0.00001262643,0.0004168737,0.0005913192,0.00001568007,0.00001599821,0.00002314617,0.0001403369,0.0001274953,0.0003594221,0.9967248,0.001540484],"study_design_scores_gemma":[0.00007943727,0.00001071576,0.002186985,0.000228516,0.0000161667,0.00004114518,0.00008152179,0.0001921219,0.000205861,0.0007986379,0.9961397,0.00001907362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004958619,0.00003063313,0.00004700586,0.00004203144,0.00001446663,0.000006168345,0.9988015,0.0004143892,0.00059423],"genre_scores_gemma":[0.0001726267,0.00003702852,0.0002006096,0.00004942967,0.000003978091,0.00004552163,0.9989183,0.0001359622,0.0004365815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.85315,"threshold_uncertainty_score":0.4912623,"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."}}