{"id":"W6924762245","doi":"10.15468/dl.sq7ukc","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; 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":[0.001063615,0.002142637,0.001431384,0.004083299,0.0009276479,0.002392829,0.002759808,0.002127896,0.1418141],"category_scores_gemma":[0.006697754,0.0008592755,0.001296942,0.007982091,0.0004623117,0.00182149,0.002270707,0.001963953,0.1931535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623724,"about_ca_system_score_gemma":0.002494239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474376,"about_ca_topic_score_gemma":0.0415426,"domain_scores_codex":[0.998966,0.0001680409,0.0001294339,0.0003607153,0.0002167391,0.0001590597],"domain_scores_gemma":[0.9975206,0.0007940998,0.0002283236,0.0005898168,0.0005852689,0.000281789],"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":[0.00003099661,0.00001345218,0.0004096911,0.0004955949,0.00001478844,0.00001228957,0.0000178523,0.0001465864,0.00007785772,0.0002975608,0.9971802,0.001303222],"study_design_scores_gemma":[0.0001278637,0.00001460664,0.002289829,0.0002332978,0.00001932395,0.00003805411,0.00007510372,0.0002567132,0.0001883205,0.001058434,0.9956766,0.0000217519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004712271,0.0000306393,0.00003869999,0.00004545303,0.00001289358,0.000006503991,0.9989189,0.0003548046,0.0005450139],"genre_scores_gemma":[0.0001768281,0.00003752288,0.0001977114,0.00005701234,0.00000413087,0.00005503275,0.9988751,0.0001152646,0.000481454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8581859,"threshold_uncertainty_score":0.4744155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698740744994395,"score_gpt":0.3249057731660183,"score_spread":0.2779183657160744,"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."}}