{"id":"W6887297976","doi":"10.15468/dl.xehr9b","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); The Internet; Alien; Range (aeronautics)","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":[0.001041442,0.001888042,0.001546693,0.004885104,0.001061448,0.002585547,0.002798005,0.002156407,0.1533878],"category_scores_gemma":[0.00618418,0.0009065109,0.001264395,0.009228216,0.000454059,0.002393622,0.002551469,0.0020933,0.2191238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582462,"about_ca_system_score_gemma":0.002365479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169722,"about_ca_topic_score_gemma":0.03561979,"domain_scores_codex":[0.9988959,0.0001552772,0.0001380324,0.0003856866,0.0002426306,0.0001824859],"domain_scores_gemma":[0.9973303,0.0007735148,0.0002331001,0.0007207369,0.0006522021,0.0002900884],"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":[0.00002939049,0.00001233977,0.0003759745,0.0004963001,0.00001342816,0.00001493275,0.00002342287,0.0001177392,0.000122956,0.0003648103,0.9970309,0.001397822],"study_design_scores_gemma":[0.00006865225,0.000009110724,0.00202486,0.0001942936,0.0000139921,0.0000376342,0.00007873498,0.0001540699,0.0002011297,0.0007746114,0.9964243,0.00001861429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004602483,0.0000256684,0.00004640594,0.00003893324,0.0000127872,0.000005884047,0.998794,0.0003905719,0.0006397558],"genre_scores_gemma":[0.0001589722,0.00003081455,0.0001997262,0.00004476624,0.000003495599,0.00004439665,0.9989088,0.0001422187,0.0004669178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466122,"threshold_uncertainty_score":0.5131333,"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."}}