{"id":"W6906033218","doi":"10.15468/dl.w6a3t9","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); Range (aeronautics); Key (lock); Feature (linguistics)","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":[0.001110412,0.001903203,0.001589094,0.004797282,0.001029907,0.002641976,0.002939328,0.002016138,0.1750047],"category_scores_gemma":[0.006470178,0.0009794259,0.001175553,0.009846648,0.0004507027,0.002337339,0.002575389,0.002043474,0.2370732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692795,"about_ca_system_score_gemma":0.002469561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02529606,"about_ca_topic_score_gemma":0.03912668,"domain_scores_codex":[0.9989449,0.0001414435,0.000136073,0.0003615468,0.0002473289,0.0001686597],"domain_scores_gemma":[0.9973934,0.0007565487,0.0002342173,0.0006797419,0.0006510938,0.0002849727],"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":[0.00002489332,0.000009600944,0.0003195879,0.0004730551,0.00001371084,0.00001331554,0.00002396358,0.0001133923,0.0001062503,0.0003999343,0.997146,0.001356143],"study_design_scores_gemma":[0.00005843494,0.000006115318,0.001553498,0.0001703382,0.00001284884,0.00003210254,0.00006664405,0.0001271621,0.0001818011,0.0007687868,0.9970055,0.00001669112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003319814,0.00002268135,0.00005035495,0.00003444076,0.00001070328,0.000004898879,0.9987821,0.0003901483,0.0006714271],"genre_scores_gemma":[0.0001477665,0.00003086945,0.0002165203,0.0000423177,0.000002974191,0.00004106034,0.9988409,0.0001892907,0.0004883773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8249953,"threshold_uncertainty_score":0.5854492,"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."}}