{"id":"W6905834476","doi":"10.15468/dl.s8hbhh","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Data set","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":[0.0009207925,0.002029223,0.001607576,0.005366158,0.0009609098,0.002585175,0.00275182,0.001851629,0.1741641],"category_scores_gemma":[0.005705247,0.00098609,0.001176062,0.01068414,0.0004304978,0.002340915,0.002636049,0.001913289,0.2349936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481664,"about_ca_system_score_gemma":0.002359802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942637,"about_ca_topic_score_gemma":0.03345745,"domain_scores_codex":[0.9989215,0.0001395313,0.0001464961,0.0003822909,0.0002325882,0.0001776062],"domain_scores_gemma":[0.9974639,0.000672669,0.0002498886,0.000670652,0.0006502305,0.0002926279],"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":[0.0000335398,0.00001136283,0.0003608231,0.0005719419,0.00001512426,0.00001433408,0.00002202125,0.0001170562,0.0001228261,0.0003880967,0.9968184,0.001524593],"study_design_scores_gemma":[0.00007066598,0.000008197379,0.001669153,0.00016777,0.00001364777,0.00003253186,0.00005677814,0.0001197627,0.0001719036,0.0007602938,0.9969116,0.00001777632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000359126,0.00002267428,0.00003846955,0.00002773153,0.00001061699,0.000004719786,0.9989071,0.0003251664,0.0006276055],"genre_scores_gemma":[0.0001378457,0.00003331409,0.0001924729,0.00004507314,0.000003501688,0.00003954478,0.9988983,0.0001451993,0.0005047324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8258359,"threshold_uncertainty_score":0.5826368,"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."}}