{"id":"W6905881086","doi":"10.15468/dl.puwrnt","title":"Occurrence Download","year":2022,"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","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":[0.0009979232,0.00185986,0.001508897,0.004895683,0.001035631,0.002700442,0.002715153,0.002000074,0.1777324],"category_scores_gemma":[0.006421008,0.000881332,0.001220111,0.009094993,0.0004316722,0.002412305,0.0024979,0.001998276,0.2370528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151343,"about_ca_system_score_gemma":0.002249369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02122135,"about_ca_topic_score_gemma":0.03295444,"domain_scores_codex":[0.9989948,0.0001432554,0.0001223166,0.0003588464,0.0002163569,0.0001644515],"domain_scores_gemma":[0.9974891,0.0007658855,0.0002081878,0.0006490985,0.0006236702,0.000264068],"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":[0.00002510308,0.0000109267,0.0003646575,0.0004666252,0.00001301059,0.00001407166,0.00002337761,0.0001145776,0.00009990844,0.000363087,0.9971295,0.001375097],"study_design_scores_gemma":[0.00006458679,0.000007852105,0.001786838,0.000194725,0.0000136,0.00003478555,0.00008221471,0.0001581015,0.0001753208,0.0008234101,0.9966406,0.00001796016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004242542,0.00002639293,0.00004916007,0.00004235423,0.00001375461,0.000006054308,0.9987319,0.000397398,0.0006905452],"genre_scores_gemma":[0.0001699752,0.00003443804,0.0002140525,0.00005082079,0.000004199077,0.00005101629,0.9987497,0.0001694165,0.0005562782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8222675,"threshold_uncertainty_score":0.5945742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}