{"id":"W6943468156","doi":"10.15468/dl.qtvkcy","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); Alien; Download; 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":[0.000914795,0.00201758,0.001512556,0.004935444,0.0009526277,0.002468702,0.002554443,0.001901563,0.1676842],"category_scores_gemma":[0.00604721,0.0008861611,0.001184352,0.009869193,0.0004363841,0.002131043,0.002503324,0.001782417,0.2206017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471745,"about_ca_system_score_gemma":0.002240054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083708,"about_ca_topic_score_gemma":0.03314801,"domain_scores_codex":[0.9989812,0.0001376992,0.0001302656,0.0003661287,0.0002121381,0.0001726443],"domain_scores_gemma":[0.9975795,0.0007020531,0.0002353888,0.0006151587,0.0005935267,0.0002743745],"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":[0.00003148025,0.00001103879,0.0004064117,0.0005254046,0.00001366992,0.0000139674,0.00002158563,0.0001264675,0.000113107,0.0003485359,0.9969175,0.001470729],"study_design_scores_gemma":[0.00007650025,0.00001028965,0.001928408,0.000190123,0.00001457285,0.0000350919,0.00006864557,0.0001583387,0.0001878088,0.0007814154,0.9965305,0.00001827667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004479865,0.00002584526,0.00003867712,0.00003351008,0.00001223985,0.000005066724,0.9988484,0.0003728469,0.0006185595],"genre_scores_gemma":[0.0001697799,0.00003461731,0.0001924979,0.00004702542,0.000003838797,0.00004388911,0.998855,0.0001561498,0.0004970705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8323158,"threshold_uncertainty_score":0.5609595,"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."}}