{"id":"W6887201140","doi":"10.15468/dl.pvrhty","title":"Occurrence Download","year":2018,"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":[0.000939515,0.001984175,0.001811433,0.00582687,0.001105209,0.00301006,0.002908334,0.002315207,0.1884912],"category_scores_gemma":[0.006967338,0.0009839657,0.001368605,0.01162875,0.0004284365,0.002699892,0.002906162,0.002087336,0.2568812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752931,"about_ca_system_score_gemma":0.002618096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02173704,"about_ca_topic_score_gemma":0.03713151,"domain_scores_codex":[0.9987634,0.000144354,0.000180233,0.0004247258,0.0002760205,0.0002112137],"domain_scores_gemma":[0.9971344,0.0007830915,0.0002728126,0.0006954752,0.0008148761,0.0002993296],"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":[0.00003265884,0.00001063047,0.0004520403,0.0007438138,0.00001757716,0.00001892659,0.00002693428,0.0001287553,0.0001241855,0.0004208855,0.9961748,0.001848647],"study_design_scores_gemma":[0.00006157749,0.000007123423,0.001619902,0.0002426724,0.00001458529,0.00003891054,0.00007437445,0.00013189,0.0001608291,0.0007016995,0.9969292,0.0000171206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003677702,0.00003449199,0.0000460611,0.00003706479,0.00001332297,0.000004515325,0.9987417,0.0003895668,0.0006965345],"genre_scores_gemma":[0.0001557082,0.00004592255,0.0002164614,0.00004979667,0.00000399927,0.00003605434,0.9988152,0.0001605331,0.0005163741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8115088,"threshold_uncertainty_score":0.6305658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}