{"id":"W6924571470","doi":"10.15468/dl.uh2j8e","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); Population; 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":[0.001153012,0.001991002,0.001669769,0.005190811,0.001070809,0.002849324,0.003028199,0.002116123,0.1752647],"category_scores_gemma":[0.006520652,0.001014085,0.001180631,0.01011111,0.0004647811,0.002512061,0.002697718,0.00211036,0.2419752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637569,"about_ca_system_score_gemma":0.002410158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089298,"about_ca_topic_score_gemma":0.03437519,"domain_scores_codex":[0.9988297,0.0001592593,0.0001532547,0.0004105951,0.0002613408,0.0001858855],"domain_scores_gemma":[0.9972626,0.0008047626,0.0002522088,0.000718081,0.0006555809,0.0003067978],"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":[0.00002702827,0.00001014878,0.0003297743,0.0004942787,0.00001417684,0.00001384384,0.00002270548,0.0001099421,0.0001079816,0.0003874813,0.9971823,0.001300383],"study_design_scores_gemma":[0.00006548678,0.000006951437,0.00160283,0.0001870422,0.00001386877,0.00003542247,0.00006870001,0.0001368992,0.0001789106,0.000767912,0.9969187,0.00001734941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000340457,0.0000233692,0.00004743215,0.00003272491,0.00001112126,0.000004693723,0.9988513,0.000365394,0.0006299299],"genre_scores_gemma":[0.0001388219,0.00003097623,0.0001990827,0.0000423369,0.000003236249,0.00003874075,0.9989234,0.0001662071,0.0004571071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8247353,"threshold_uncertainty_score":0.5863187,"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."}}