{"id":"W6887384114","doi":"10.15468/dl.y5x3x6","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":"Download; Matching (statistics); Range (aeronautics); Corynespora cassiicola; Alien","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":[0.001052833,0.001905146,0.001620253,0.005208708,0.00107541,0.002593,0.002816336,0.002163581,0.1554236],"category_scores_gemma":[0.006520606,0.0009149933,0.001260126,0.01014912,0.0004562726,0.002313587,0.002523281,0.002028256,0.2149571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646677,"about_ca_system_score_gemma":0.002458679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02162821,"about_ca_topic_score_gemma":0.03450931,"domain_scores_codex":[0.998881,0.0001548163,0.0001444109,0.000389307,0.0002493268,0.0001810144],"domain_scores_gemma":[0.9972156,0.000854271,0.0002454075,0.0007116844,0.0006845462,0.0002884765],"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":[0.00003041021,0.00001225168,0.0003896879,0.0005864594,0.00001468433,0.00001588284,0.00002474468,0.0001225865,0.0001265339,0.0003839855,0.9968361,0.001456755],"study_design_scores_gemma":[0.00007337345,0.000009195113,0.001977207,0.0002194386,0.00001537158,0.00003752295,0.00007965995,0.000148749,0.0001974463,0.0007606205,0.996463,0.00001846415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004437705,0.0000286224,0.00004367547,0.00003737942,0.00001209553,0.000005843735,0.9988239,0.0003632905,0.0006407492],"genre_scores_gemma":[0.000162843,0.00003550356,0.0001982274,0.00004635707,0.000003568502,0.00004682352,0.9989028,0.0001400433,0.0004637127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445764,"threshold_uncertainty_score":0.5199437,"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."}}