{"id":"W7092715400","doi":"10.15468/dl.gnrkzt","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Mexico city","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":[0.001003765,0.001666843,0.001512958,0.004701473,0.00101046,0.002681778,0.002647534,0.001990687,0.1761891],"category_scores_gemma":[0.007004383,0.0008918666,0.001127541,0.009909556,0.0003870237,0.002420992,0.002400144,0.001943981,0.2273927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789843,"about_ca_system_score_gemma":0.002429276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02557865,"about_ca_topic_score_gemma":0.03801373,"domain_scores_codex":[0.9988771,0.0001511149,0.0001567437,0.0003729038,0.0002497746,0.0001922829],"domain_scores_gemma":[0.9972997,0.0007261978,0.0002665793,0.0006514544,0.0007636282,0.0002924781],"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":[0.00002749091,0.000009282062,0.0004340005,0.0004510667,0.00001284384,0.00001273515,0.0000204084,0.0001272406,0.00007351842,0.0003831947,0.9968829,0.001565362],"study_design_scores_gemma":[0.00007126525,0.000006827662,0.001871504,0.0001896029,0.0000117982,0.00002911696,0.0000757601,0.0001934359,0.0001380788,0.0008123444,0.9965852,0.00001499547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003459107,0.00002003018,0.00003977711,0.00003571665,0.000009283523,0.000004445847,0.9989367,0.0003115133,0.0006080099],"genre_scores_gemma":[0.0001755172,0.00003310213,0.0002094207,0.00005202865,0.000003819936,0.00004339559,0.9988222,0.0001432397,0.0005173337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8238109,"threshold_uncertainty_score":0.5894114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779044216349616,"score_gpt":0.224014738620866,"score_spread":0.2062242964573698,"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."}}