{"id":"W6943439749","doi":"10.15468/dl.ngs1ht","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Identification (biology)","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":[0.0008648406,0.002189915,0.001583387,0.005596555,0.0009438904,0.002803484,0.002977483,0.001906981,0.1413117],"category_scores_gemma":[0.005835773,0.0009416792,0.001313583,0.01229674,0.0004154599,0.002457198,0.002649992,0.002004053,0.2173925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189014,"about_ca_system_score_gemma":0.002800143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02830952,"about_ca_topic_score_gemma":0.04637722,"domain_scores_codex":[0.9988457,0.0001474166,0.0001526885,0.0004025987,0.0002616113,0.000190062],"domain_scores_gemma":[0.9978536,0.0005246862,0.0002212176,0.0005621875,0.0005840241,0.0002541584],"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":[0.00003009042,0.00001005663,0.0004061324,0.0005222328,0.00001511126,0.00001442005,0.00002193643,0.0001277604,0.00009771646,0.0004563091,0.9966791,0.00161917],"study_design_scores_gemma":[0.00005636077,0.000006860669,0.001413756,0.0001603069,0.00001287,0.00003603551,0.00005398114,0.000142503,0.000153179,0.0007700123,0.9971793,0.00001492199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004396804,0.00003904524,0.00004689761,0.00003811262,0.00001188172,0.000004771291,0.9985561,0.0004293304,0.0008298614],"genre_scores_gemma":[0.0001440374,0.00004788116,0.0001887655,0.00004224663,0.000003005967,0.00003218984,0.998827,0.0001474172,0.0005675337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8586883,"threshold_uncertainty_score":0.4727347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}