{"id":"W6924457571","doi":"10.15468/dl.n837vb","title":"Occurrence Download","year":2020,"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); Context (archaeology)","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":[0.0009361445,0.001817146,0.00140569,0.00567712,0.0008396407,0.002382387,0.002498555,0.001760608,0.1406683],"category_scores_gemma":[0.005645907,0.0008275999,0.00106257,0.01100471,0.0004214481,0.002153328,0.002409652,0.001697743,0.1819338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585266,"about_ca_system_score_gemma":0.002504698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02552258,"about_ca_topic_score_gemma":0.04194509,"domain_scores_codex":[0.9989637,0.0001312646,0.000147673,0.0003351035,0.0002387185,0.0001834589],"domain_scores_gemma":[0.9974465,0.000661973,0.0002617202,0.000646573,0.0006584942,0.0003247229],"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":[0.00003577799,0.00001122134,0.0004358482,0.0005960766,0.00001629903,0.00001733159,0.00002365856,0.0001384841,0.0001357879,0.0004402463,0.9966131,0.001536159],"study_design_scores_gemma":[0.00006556894,0.000008044773,0.002151452,0.0001893833,0.00001387999,0.00003819911,0.0000670044,0.0001374972,0.0001980001,0.0007024676,0.9964109,0.00001757927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003674176,0.0000229919,0.00003199195,0.00002700637,0.000009400891,0.000004307442,0.9990402,0.0002800603,0.0005472121],"genre_scores_gemma":[0.0001541698,0.00003222862,0.0001519058,0.00003786925,0.000003033088,0.00002993168,0.9990902,0.0001019514,0.000398721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8593317,"threshold_uncertainty_score":0.4705824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}