{"id":"W6925092136","doi":"10.15468/dl.zfarf4","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009026561,0.001864802,0.001567021,0.004902429,0.001047519,0.002906112,0.002725634,0.001871408,0.1951179],"category_scores_gemma":[0.006132675,0.0009159527,0.001362101,0.009807548,0.0004193989,0.002548686,0.002786055,0.001932802,0.2779361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454625,"about_ca_system_score_gemma":0.002356082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046695,"about_ca_topic_score_gemma":0.03235085,"domain_scores_codex":[0.9989526,0.0001283979,0.0001330457,0.0003724895,0.0002266836,0.0001866529],"domain_scores_gemma":[0.9975447,0.000652912,0.0002005366,0.0006771132,0.0006662717,0.0002584168],"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":[0.00002859594,0.000009589548,0.0004265679,0.0005255622,0.00001460102,0.00001639013,0.00002651939,0.0001252797,0.0001217825,0.0003952342,0.996327,0.001982922],"study_design_scores_gemma":[0.00005116301,0.000006687431,0.00162618,0.0001631781,0.00001228455,0.00003458768,0.00007575558,0.0001618997,0.0001738479,0.0007763051,0.9969021,0.00001603944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004711971,0.00003175213,0.00006777535,0.00004368384,0.00001683418,0.000006018624,0.9982344,0.0006774721,0.0008747752],"genre_scores_gemma":[0.0001922189,0.00004281676,0.0002725465,0.00005462941,0.000004789681,0.00004456827,0.9984939,0.0002530128,0.0006414645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.804882,"threshold_uncertainty_score":0.6527345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}