{"id":"W6962141049","doi":"10.15468/dl.vucgkm","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009361869,0.002025813,0.001575334,0.004987975,0.0009753078,0.002532334,0.002631998,0.00190137,0.1776593],"category_scores_gemma":[0.006331945,0.0009021191,0.001185212,0.01000148,0.000428304,0.002192648,0.002507788,0.001803724,0.2299728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470198,"about_ca_system_score_gemma":0.002262566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075753,"about_ca_topic_score_gemma":0.03273302,"domain_scores_codex":[0.9989662,0.0001394455,0.0001287632,0.0003736443,0.0002205743,0.0001714154],"domain_scores_gemma":[0.9974624,0.0007562663,0.0002426968,0.0006447398,0.0006169265,0.0002770313],"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":[0.00003068197,0.00001049672,0.0003743041,0.000524418,0.00001374813,0.00001394225,0.00002121536,0.0001255743,0.0001101344,0.0003595617,0.99695,0.001465919],"study_design_scores_gemma":[0.00007413694,0.000009602714,0.001765023,0.0001856956,0.00001470131,0.00003450198,0.0000634902,0.0001498479,0.000183216,0.0008168954,0.9966851,0.00001790096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004091656,0.00002577545,0.00004192739,0.00003420944,0.00001198168,0.000005073028,0.998793,0.0003973804,0.0006496515],"genre_scores_gemma":[0.0001653313,0.00003578692,0.0002013031,0.00004959801,0.00000384443,0.00004503289,0.9987975,0.0001740169,0.0005275204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8223407,"threshold_uncertainty_score":0.5943296,"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."}}