{"id":"W6962221300","doi":"10.15468/dl.y5mhfv","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":[0.0009150176,0.002052887,0.001470062,0.004668221,0.0009806061,0.00237656,0.002680585,0.001954151,0.1442598],"category_scores_gemma":[0.005584314,0.0008859881,0.001217691,0.009264822,0.0004403017,0.002131899,0.002454857,0.001837307,0.202581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147354,"about_ca_system_score_gemma":0.002316385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02115795,"about_ca_topic_score_gemma":0.03526073,"domain_scores_codex":[0.998976,0.0001376309,0.0001290113,0.0003702249,0.0002156788,0.0001715594],"domain_scores_gemma":[0.9976923,0.0006381026,0.0002175283,0.0006129814,0.0005704615,0.0002686467],"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":[0.00003271556,0.0000128579,0.0004170588,0.0004954325,0.00001433096,0.00001443831,0.00002022234,0.0001326494,0.0001271959,0.0003486254,0.9969082,0.001476325],"study_design_scores_gemma":[0.00008193777,0.00001151394,0.00208452,0.0001779403,0.0000151347,0.00003910123,0.0000691989,0.000170828,0.000217306,0.0007911714,0.9963219,0.0000194166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005367342,0.00002767061,0.00004197515,0.00003490598,0.00001362415,0.000005509172,0.998808,0.0003883498,0.0006262292],"genre_scores_gemma":[0.0001643597,0.00003146288,0.0001858041,0.00004415264,0.000003586462,0.00004044714,0.9989383,0.0001326346,0.0004594302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8557402,"threshold_uncertainty_score":0.4825972,"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."}}