{"id":"W6943372912","doi":"10.15468/dl.r5ssgp","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); Data set","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":[0.001018047,0.001954404,0.001635699,0.005753205,0.00103142,0.002647797,0.002874488,0.002042429,0.188571],"category_scores_gemma":[0.006004748,0.0009491533,0.001193033,0.0111271,0.0004718524,0.002459565,0.002940206,0.002051818,0.2534195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645699,"about_ca_system_score_gemma":0.002568574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02335718,"about_ca_topic_score_gemma":0.03950957,"domain_scores_codex":[0.9988708,0.0001437804,0.000146789,0.0003759022,0.0002647755,0.0001978745],"domain_scores_gemma":[0.9972935,0.0006898053,0.0002637907,0.0007160353,0.0006987776,0.0003380112],"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":[0.00002934755,0.00001017156,0.0003122888,0.0005421006,0.00001307582,0.00001390223,0.00002408781,0.00009338299,0.0001175606,0.0003855068,0.9970668,0.001391794],"study_design_scores_gemma":[0.00006108147,0.000006479572,0.001544169,0.0001746828,0.00001177988,0.00003060242,0.00006315891,0.00008727756,0.000167791,0.0006781179,0.9971588,0.00001621551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003262388,0.00002214373,0.00003600567,0.00003055622,0.00001016664,0.000005011682,0.9988289,0.0003362291,0.0006983813],"genre_scores_gemma":[0.000141171,0.00003303296,0.0001919982,0.00004647495,0.000003288671,0.00003833348,0.9988656,0.0001665397,0.0005136374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.811429,"threshold_uncertainty_score":0.6308327,"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."}}