{"id":"W6905933690","doi":"10.15468/dl.v2wq9e","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":"Download; Matching (statistics); Range (aeronautics); State (computer science); Set (abstract data type)","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":[0.001136928,0.002025852,0.001688275,0.005265351,0.001073013,0.002754611,0.002977412,0.002060298,0.1740704],"category_scores_gemma":[0.006697005,0.0009812546,0.001175518,0.01053832,0.0004684366,0.002404048,0.002675851,0.002112332,0.2373087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739852,"about_ca_system_score_gemma":0.002576221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02423684,"about_ca_topic_score_gemma":0.03868757,"domain_scores_codex":[0.9988558,0.0001513192,0.0001471144,0.0003944187,0.0002651927,0.000186165],"domain_scores_gemma":[0.9972345,0.0007817985,0.0002549851,0.0007157813,0.0007037371,0.0003091423],"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":[0.00002794166,0.00001033416,0.0003369391,0.0005196354,0.00001441356,0.00001455305,0.00002436857,0.0001150445,0.0001140098,0.0003976538,0.9970642,0.001360822],"study_design_scores_gemma":[0.00006303075,0.000006532853,0.001603021,0.0001785235,0.00001315024,0.00003322159,0.00006774593,0.0001263405,0.0001766935,0.0007229692,0.9969915,0.00001711956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003384827,0.00002357289,0.00004756036,0.00003343667,0.00001106731,0.000004933245,0.9988034,0.0003824706,0.0006598284],"genre_scores_gemma":[0.0001414922,0.00003082718,0.000200979,0.00004074523,0.000003064999,0.00004049645,0.9989076,0.0001743847,0.0004603707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8259296,"threshold_uncertainty_score":0.5823236,"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."}}