{"id":"W6943421682","doi":"10.15468/dl.x64hj4","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001157371,0.001897119,0.001650283,0.005358681,0.001070169,0.002893737,0.002925729,0.001990331,0.1876398],"category_scores_gemma":[0.006701968,0.0009912272,0.001119572,0.01057194,0.0004595012,0.002516306,0.002762364,0.002061686,0.2459215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579081,"about_ca_system_score_gemma":0.002431781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01923402,"about_ca_topic_score_gemma":0.03260059,"domain_scores_codex":[0.9988382,0.0001598174,0.0001547993,0.0004051166,0.0002561777,0.0001859566],"domain_scores_gemma":[0.9972408,0.000808223,0.000261175,0.0007175094,0.0006558348,0.0003164078],"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":[0.00002682769,0.000009930679,0.00033557,0.0005097972,0.00001387523,0.00001384178,0.00002375418,0.00009996801,0.0001016861,0.0003993539,0.9971418,0.001323507],"study_design_scores_gemma":[0.00006229827,0.000006583733,0.001579007,0.0001868486,0.00001342032,0.00003438695,0.00006978213,0.0001133998,0.0001625688,0.0007644483,0.9969907,0.00001653733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003360941,0.00002286633,0.00004636197,0.00003209483,0.00001098313,0.00000476586,0.9988729,0.0003288758,0.0006474687],"genre_scores_gemma":[0.0001442203,0.00003234945,0.0001980199,0.00004321266,0.000003365731,0.00004221663,0.99887,0.0001686306,0.0004980864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8123602,"threshold_uncertainty_score":0.6277177,"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."}}