{"id":"W6905923304","doi":"10.15468/dl.su7m4d","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); Alien; 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":[0.001011409,0.001923102,0.001603908,0.005331168,0.001036519,0.002660966,0.00271971,0.002122133,0.1695703],"category_scores_gemma":[0.00631163,0.0008885924,0.00127459,0.01007839,0.0004640619,0.002328416,0.002625203,0.002008035,0.2390198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159946,"about_ca_system_score_gemma":0.002459075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363327,"about_ca_topic_score_gemma":0.03748294,"domain_scores_codex":[0.9989121,0.0001504254,0.000134431,0.0003775154,0.0002405951,0.0001849846],"domain_scores_gemma":[0.9972388,0.0008234534,0.0002411506,0.0007086126,0.000686386,0.0003015857],"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":[0.0000259946,0.00001132461,0.0003768153,0.000518984,0.00001286838,0.00001455028,0.00002303868,0.0001102516,0.0001025439,0.0003254844,0.997057,0.001421181],"study_design_scores_gemma":[0.0000670373,0.000009162061,0.001989672,0.0002156426,0.00001461179,0.00003666835,0.00008547366,0.0001461957,0.0001776375,0.0007282881,0.9965116,0.00001784011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004322847,0.0000272675,0.00004048797,0.00003931353,0.00001277817,0.000005730461,0.9988317,0.0003678694,0.0006316103],"genre_scores_gemma":[0.000158729,0.00003507678,0.0001909491,0.00004747332,0.000003902706,0.00004647309,0.9988618,0.0001452698,0.0005101951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8304297,"threshold_uncertainty_score":0.5672693,"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."}}