{"id":"W6887327181","doi":"10.15468/dl.z35uz2","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); Data set; 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":[0.001006792,0.001982498,0.001651212,0.005469423,0.0009565554,0.002571194,0.002788923,0.002025406,0.1726272],"category_scores_gemma":[0.006011175,0.0009056269,0.001177827,0.01063591,0.0004567065,0.002227788,0.002627257,0.001886813,0.2295598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491882,"about_ca_system_score_gemma":0.002245959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860879,"about_ca_topic_score_gemma":0.03019769,"domain_scores_codex":[0.9989213,0.0001410622,0.0001432374,0.0003688939,0.0002407736,0.0001847752],"domain_scores_gemma":[0.9975534,0.0006998047,0.0002414711,0.0006387394,0.0005895729,0.0002769628],"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":[0.00003398348,0.00001118056,0.0003763582,0.000643208,0.00001721595,0.00001654415,0.00002447587,0.0001224911,0.0001474255,0.0003845796,0.9967007,0.001521697],"study_design_scores_gemma":[0.00007359651,0.000008494024,0.001867947,0.0001980728,0.00001584849,0.00003892849,0.00006664362,0.0001205367,0.0002043449,0.0007043351,0.9966837,0.00001754857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003947183,0.00002710674,0.00004011246,0.00002990935,0.00001081253,0.000004776408,0.9989038,0.0003395545,0.0006045292],"genre_scores_gemma":[0.0001529767,0.00003263087,0.0001671257,0.00004030446,0.000003389074,0.00003805821,0.998997,0.0001417365,0.000426801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273728,"threshold_uncertainty_score":0.5774957,"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."}}