{"id":"W6887085593","doi":"10.15468/dl.padtb6","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); 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":[0.0009798188,0.001984899,0.001616401,0.005051769,0.001011012,0.002538006,0.002828713,0.002122957,0.1494668],"category_scores_gemma":[0.005551296,0.0008818027,0.00121838,0.009946289,0.0004584584,0.002350668,0.002484677,0.002036295,0.2133784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622197,"about_ca_system_score_gemma":0.002350985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218206,"about_ca_topic_score_gemma":0.03694504,"domain_scores_codex":[0.9989564,0.0001459106,0.0001306752,0.0003689074,0.0002238372,0.0001741672],"domain_scores_gemma":[0.9975237,0.0007022314,0.000235995,0.0006525494,0.0005995976,0.00028582],"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":[0.00003011274,0.00001166405,0.0003628482,0.0005247667,0.00001504409,0.00001466998,0.00002255947,0.000126793,0.0001165386,0.0003830683,0.9970408,0.001351093],"study_design_scores_gemma":[0.0000746924,0.000008721311,0.001948437,0.0001950512,0.00001488639,0.00003797429,0.00007515426,0.0001482865,0.0001955753,0.0008341719,0.9964484,0.00001851699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004011679,0.00002633785,0.00003978286,0.00003456118,0.00001162674,0.000004853885,0.9989429,0.0003162887,0.0005836116],"genre_scores_gemma":[0.0001471654,0.00003172294,0.0001778405,0.0000424891,0.000003390964,0.00003741642,0.999009,0.0001206477,0.0004303491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8505332,"threshold_uncertainty_score":0.5000161,"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."}}