{"id":"W6962068348","doi":"10.15468/dl.v3uwze","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004371125,0.0002517496,0.0003230755,0.00007096077,0.0002693199,0.0001079977,0.0004737433,0.0003081177,0.0007138456],"category_scores_gemma":[0.001667575,0.0002465121,0.0001372847,0.000448581,0.0001568178,0.0002829393,0.0003006237,0.000280848,0.4307828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001860757,"about_ca_system_score_gemma":0.00008882351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000337644,"about_ca_topic_score_gemma":0.00001407575,"domain_scores_codex":[0.9984896,0.00008337301,0.000466927,0.0002234649,0.0004541579,0.0002825301],"domain_scores_gemma":[0.9983827,0.0003266536,0.0002967059,0.000595979,0.000231686,0.0001662863],"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":[0.00001155772,0.00003580035,0.00003566015,0.0002477491,0.00002654437,0.000001275462,0.00001523254,3.820042e-7,1.689433e-8,0.00002941341,0.9976221,0.001974253],"study_design_scores_gemma":[0.0001800153,0.00001806889,0.0000386589,0.000003793906,0.00008496597,0.000001998845,0.00008544308,2.654925e-7,9.038773e-7,0.001021495,0.998313,0.000251452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003182446,0.000002822583,0.0006429921,0.0001875509,0.000362278,0.000403648,0.9980426,0.0002221735,0.0001041421],"genre_scores_gemma":[2.872248e-7,0.00003174558,0.0002646335,0.0001795116,0.000002143868,0.00001737004,0.999504,2.497031e-8,3.357979e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.430069,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07217609117974079,"score_gpt":0.3341747852756974,"score_spread":0.2619986940959567,"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."}}