{"id":"W6943521067","doi":"10.15468/dl.vhb8j7","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); Alien; Range (aeronautics); Species name","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":[0.0009612165,0.001864127,0.001575187,0.00489524,0.001032791,0.002570842,0.002674658,0.002057655,0.1490496],"category_scores_gemma":[0.005840135,0.0008684339,0.001292667,0.009722156,0.0004441316,0.002317786,0.002531843,0.001949884,0.2155629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546307,"about_ca_system_score_gemma":0.002295577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253458,"about_ca_topic_score_gemma":0.03600039,"domain_scores_codex":[0.9989655,0.0001449646,0.0001326565,0.0003618406,0.0002245442,0.0001704628],"domain_scores_gemma":[0.9974147,0.0007566435,0.0002333216,0.0006765873,0.0006372161,0.000281592],"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":[0.00003091087,0.0000122127,0.0004251317,0.0005808789,0.0000149707,0.00001620418,0.00002565807,0.0001210692,0.0001276713,0.0003621193,0.9967586,0.001524416],"study_design_scores_gemma":[0.00007041069,0.000009403082,0.002210545,0.0002179994,0.00001536456,0.00003923549,0.00008538167,0.0001506893,0.0001954933,0.0007059621,0.9962814,0.00001799394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004891204,0.00003094916,0.00004238098,0.00003994041,0.00001350825,0.000005799003,0.9988035,0.0003716701,0.0006432749],"genre_scores_gemma":[0.0001672317,0.00003802338,0.0001936292,0.00004835009,0.000003892881,0.00004393962,0.9988818,0.0001329692,0.0004902006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8509504,"threshold_uncertainty_score":0.4986207,"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."}}