{"id":"W6887313251","doi":"10.15468/dl.yhge9e","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009013291,0.001847697,0.001554753,0.004922238,0.001050179,0.003003813,0.002706641,0.001836064,0.1995184],"category_scores_gemma":[0.006199714,0.0009200581,0.001324502,0.00976286,0.0004099868,0.002625241,0.002822751,0.001920725,0.288017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407128,"about_ca_system_score_gemma":0.002307117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018316,"about_ca_topic_score_gemma":0.03219122,"domain_scores_codex":[0.9989406,0.0001294564,0.0001302427,0.0003783154,0.0002335299,0.000187742],"domain_scores_gemma":[0.9974841,0.0006516444,0.0002045202,0.0007061862,0.000687777,0.0002657127],"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":[0.00002766083,0.000009245338,0.0004160439,0.0004910923,0.00001393093,0.00001584455,0.00002571022,0.0001229191,0.0001172977,0.0003844059,0.9963994,0.001976381],"study_design_scores_gemma":[0.00004825006,0.000006469623,0.001579649,0.0001529967,0.00001155925,0.00003277362,0.00007615322,0.0001546628,0.0001673736,0.0007497426,0.9970044,0.00001587851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004867185,0.00003134488,0.00007100641,0.00004539104,0.00001814562,0.000006160405,0.9981267,0.0007114334,0.0009410846],"genre_scores_gemma":[0.0001974725,0.000042291,0.0002797925,0.00005499546,0.000005288899,0.00004559001,0.9983839,0.0002725885,0.0007180524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8004816,"threshold_uncertainty_score":0.6674554,"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."}}