{"id":"W6962203102","doi":"10.15468/dl.wtjpk7","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); 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":[0.0009384231,0.002055558,0.001476043,0.004565063,0.0009617198,0.002445788,0.00263054,0.001951382,0.1556383],"category_scores_gemma":[0.005863665,0.000898803,0.001231494,0.009022471,0.0004326779,0.002189019,0.002442126,0.001858122,0.2133658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441483,"about_ca_system_score_gemma":0.002236707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196576,"about_ca_topic_score_gemma":0.03252001,"domain_scores_codex":[0.9989703,0.0001407608,0.0001292397,0.0003769912,0.0002141739,0.0001687157],"domain_scores_gemma":[0.9976268,0.0006904926,0.0002189662,0.0006207057,0.0005766688,0.0002663938],"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":[0.00003157011,0.00001214266,0.0003941065,0.0004894268,0.0000140114,0.00001369319,0.00001946546,0.0001310138,0.0001152863,0.0003338323,0.9969954,0.001449973],"study_design_scores_gemma":[0.00008216604,0.00001133099,0.00199674,0.0001804696,0.00001558633,0.00003823977,0.000068179,0.0001785252,0.0002140442,0.0008444002,0.9963506,0.00001971977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004940486,0.00002647305,0.00004363778,0.00003587168,0.0000134013,0.000005446097,0.998799,0.0004021921,0.0006245219],"genre_scores_gemma":[0.0001693843,0.00003221259,0.0002032321,0.00004702045,0.0000038266,0.00004293974,0.9988599,0.0001509858,0.0004904695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443617,"threshold_uncertainty_score":0.5206618,"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."}}