{"id":"W6905852243","doi":"10.15468/dl.tvtmxe","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); The Internet","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":[0.0009848427,0.001943773,0.00160404,0.005240104,0.0009596208,0.002474785,0.002781318,0.002034911,0.1472856],"category_scores_gemma":[0.005924174,0.0009039802,0.001177014,0.01014299,0.0004469885,0.002260662,0.002479015,0.001942719,0.205929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481487,"about_ca_system_score_gemma":0.002255386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036744,"about_ca_topic_score_gemma":0.03441525,"domain_scores_codex":[0.9989282,0.0001482234,0.0001432126,0.0003761169,0.0002269424,0.0001771881],"domain_scores_gemma":[0.9974775,0.0007093882,0.0002462619,0.000653918,0.0006151192,0.0002978604],"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":[0.00003182699,0.00001238315,0.0004172424,0.0005935125,0.00001599867,0.00001617006,0.0000238988,0.0001313349,0.0001187998,0.0003581324,0.9968951,0.001385578],"study_design_scores_gemma":[0.0000806343,0.000009432828,0.002141024,0.0002107776,0.0000162183,0.00004149336,0.00007621244,0.0001543397,0.0001865321,0.0007524162,0.9963116,0.00001920273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004499989,0.00002771741,0.00003989276,0.00003297242,0.00001128584,0.000005167459,0.9989655,0.0003204711,0.0005520158],"genre_scores_gemma":[0.0001650728,0.00003313758,0.0001746146,0.00004377658,0.000003491763,0.00004091984,0.9989894,0.0001225115,0.0004270632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527144,"threshold_uncertainty_score":0.4927195,"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."}}