{"id":"W6905886547","doi":"10.15468/dl.n4wayb","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001013677,0.001997305,0.001648402,0.005435418,0.000942127,0.002473423,0.002771539,0.001886894,0.1900246],"category_scores_gemma":[0.006249193,0.0009660784,0.001213545,0.009687511,0.0004548931,0.002290201,0.002854092,0.00185299,0.2521395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611016,"about_ca_system_score_gemma":0.002358304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326096,"about_ca_topic_score_gemma":0.03811634,"domain_scores_codex":[0.999069,0.0001180735,0.0001162451,0.0003144149,0.0002114867,0.0001707841],"domain_scores_gemma":[0.9974601,0.0006890886,0.0002371179,0.0006580988,0.0006616964,0.0002939239],"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":[0.00002517732,0.000008512218,0.0003250021,0.0005511827,0.00001381617,0.00001331392,0.00002101302,0.0001047021,0.0001057628,0.0003280892,0.997133,0.001370303],"study_design_scores_gemma":[0.00006989588,0.000007646905,0.001861021,0.0002276812,0.00001438749,0.00003219839,0.00006450634,0.0001197498,0.0001753218,0.0007434511,0.9966672,0.00001688597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002736972,0.00001972765,0.00003329773,0.00002623988,0.000008945047,0.000004723018,0.9989849,0.0003405743,0.0005541649],"genre_scores_gemma":[0.0001411128,0.00003205974,0.0001848768,0.00004181527,0.000003306593,0.0000424926,0.9989427,0.0001677645,0.0004438963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8099754,"threshold_uncertainty_score":0.6356956,"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."}}