{"id":"W6906173685","doi":"10.15468/dl.wve55t","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); Alien; 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":[0.0009147683,0.001902954,0.001539967,0.004836075,0.0009872438,0.002628502,0.002743431,0.002074206,0.1681965],"category_scores_gemma":[0.005893608,0.0008860104,0.001218497,0.008988988,0.0004330703,0.002436127,0.002531961,0.001993945,0.2286961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541104,"about_ca_system_score_gemma":0.002195541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02165796,"about_ca_topic_score_gemma":0.03498489,"domain_scores_codex":[0.9990699,0.0001271996,0.0001147364,0.0003330915,0.0001997771,0.0001554332],"domain_scores_gemma":[0.9976228,0.0007246216,0.0002077298,0.0005989304,0.0005810107,0.0002649445],"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":[0.00002618802,0.00001142989,0.0003922528,0.0005479506,0.00001382189,0.00001547979,0.00002384524,0.0001216544,0.0001074301,0.0003448694,0.9969611,0.00143398],"study_design_scores_gemma":[0.00007069733,0.000008828099,0.001983273,0.0002180915,0.00001518622,0.00003870238,0.00008521539,0.000179358,0.0001831418,0.0007923833,0.9964069,0.00001832126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004167982,0.00002650135,0.00004381902,0.00003874327,0.00001231475,0.000005392544,0.9988351,0.0003918405,0.000604635],"genre_scores_gemma":[0.0001700133,0.00003554349,0.0002064281,0.00005037777,0.000003783684,0.00004655184,0.9988328,0.000156471,0.0004980277],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8318035,"threshold_uncertainty_score":0.5626733,"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."}}