{"id":"W6943543369","doi":"10.15468/dl.ct4v8t","title":"Occurrence Download","year":2024,"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); Confidentiality; Data collection","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":[0.0009831332,0.00197272,0.001683039,0.005766402,0.0009782214,0.002577312,0.002786551,0.001990221,0.1577079],"category_scores_gemma":[0.006026112,0.0008913722,0.001202676,0.01045314,0.0004485858,0.002320051,0.002629431,0.001909258,0.212851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534293,"about_ca_system_score_gemma":0.002285491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028458,"about_ca_topic_score_gemma":0.03472532,"domain_scores_codex":[0.9989278,0.0001403176,0.0001448198,0.0003696765,0.0002357406,0.000181595],"domain_scores_gemma":[0.9974367,0.0007087532,0.0002533163,0.0006616723,0.0006310624,0.0003086673],"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":[0.00003331774,0.00001215205,0.0004111051,0.0006412335,0.00001714394,0.00001766178,0.00002470347,0.0001231432,0.0001389499,0.0003900189,0.9967374,0.001453159],"study_design_scores_gemma":[0.0000748125,0.000009020449,0.002097076,0.0002189508,0.00001660938,0.00004324905,0.00007318081,0.000134853,0.000189472,0.0007449782,0.9963788,0.00001897969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004305575,0.00002822483,0.00003684299,0.00003268033,0.00001107002,0.000005019032,0.9989421,0.0003142128,0.0005869154],"genre_scores_gemma":[0.0001556279,0.0000344033,0.0001703271,0.00004146788,0.000003440768,0.00003664682,0.9990097,0.0001251395,0.0004231606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8422921,"threshold_uncertainty_score":0.5275854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}