{"id":"W6924838527","doi":"10.15468/dl.nepv32","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":"Matching (statistics); Download; Taxonomy (biology); Key (lock)","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":[0.00065304,0.002660025,0.002003781,0.006807364,0.001373399,0.003395805,0.002673687,0.002697594,0.2058743],"category_scores_gemma":[0.005040263,0.0008064159,0.001739765,0.0108129,0.0003894587,0.003716051,0.003157869,0.002126042,0.3245154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855773,"about_ca_system_score_gemma":0.002378435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312358,"about_ca_topic_score_gemma":0.04182087,"domain_scores_codex":[0.9989139,0.000118206,0.000158973,0.0003700893,0.0002463516,0.0001924917],"domain_scores_gemma":[0.9981122,0.0004231612,0.0001520697,0.0004456766,0.0006155177,0.0002513804],"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":[0.00005784271,0.00001899691,0.0005020552,0.0008155158,0.0000157725,0.00003814123,0.00002751405,0.0001357786,0.0001710552,0.0005024649,0.9938344,0.003880487],"study_design_scores_gemma":[0.00005998075,0.00001492568,0.001504627,0.0002170328,0.00001484479,0.00007188449,0.0001078959,0.0003382456,0.000190076,0.0009677748,0.996493,0.00001965784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001140058,0.000131362,0.0001155865,0.00008967994,0.00003664543,0.00001371034,0.9956958,0.00150956,0.002293498],"genre_scores_gemma":[0.0003185976,0.0001020535,0.0004600051,0.00008863841,0.000009317399,0.00004143972,0.9976023,0.0002297321,0.001147931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7941257,"threshold_uncertainty_score":0.688718,"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."}}