{"id":"W6905841640","doi":"10.15468/dl.paapkk","title":"Occurrence Download","year":2019,"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); Taxon; Base (topology)","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":[0.00103361,0.0019418,0.001737737,0.004920974,0.001026903,0.002755437,0.002822546,0.002040976,0.156918],"category_scores_gemma":[0.006176577,0.0009019868,0.001161307,0.01007406,0.0004376245,0.002276309,0.002721784,0.002004917,0.2222443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595402,"about_ca_system_score_gemma":0.002466009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190615,"about_ca_topic_score_gemma":0.03707105,"domain_scores_codex":[0.9989191,0.0001406033,0.0001360299,0.0003760779,0.0002464354,0.0001818449],"domain_scores_gemma":[0.9974859,0.0006981702,0.0002432659,0.0006532578,0.0006136356,0.0003056897],"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":[0.00003464239,0.000011497,0.00041794,0.0006064006,0.00001706103,0.00001442022,0.00002306984,0.0001299245,0.0001388075,0.0003903255,0.9966737,0.001542264],"study_design_scores_gemma":[0.00008185619,0.00000913626,0.001933168,0.0002035089,0.00001491827,0.00003402626,0.00007247271,0.0001575821,0.0002081864,0.0008428264,0.9964232,0.00001919036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003732773,0.00002614089,0.00003960094,0.00002986082,0.00001087339,0.000004505876,0.9989582,0.0003742602,0.0005190754],"genre_scores_gemma":[0.0001475288,0.00003125224,0.0001876207,0.00003880274,0.000003066295,0.00003389652,0.9990231,0.0001400655,0.0003946892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8430821,"threshold_uncertainty_score":0.5249429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}