{"id":"W6943547459","doi":"10.15468/dl.u24x49","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); Set (abstract data type); Order (exchange)","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":[0.0009528887,0.001897001,0.001505857,0.004568757,0.001010326,0.002404767,0.002814132,0.002063179,0.1512309],"category_scores_gemma":[0.005514402,0.0009077433,0.001177912,0.009171893,0.0004586212,0.002162348,0.00255409,0.002013602,0.2214721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657692,"about_ca_system_score_gemma":0.002329138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0238977,"about_ca_topic_score_gemma":0.04140336,"domain_scores_codex":[0.9990845,0.0001202799,0.0001142769,0.0003191945,0.0002065146,0.00015525],"domain_scores_gemma":[0.9977852,0.00059169,0.0002026902,0.000601566,0.0005518125,0.0002670173],"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":[0.00002597885,0.00001107007,0.0003944175,0.0004941276,0.00001407021,0.00001513393,0.00002908162,0.0001298358,0.0001391391,0.0004270135,0.9968073,0.001512833],"study_design_scores_gemma":[0.00005968269,0.000006649991,0.001698501,0.00016339,0.00001260652,0.00003367528,0.00007267737,0.0001490015,0.0001852257,0.0007387033,0.9968631,0.0000167016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004677309,0.00002519908,0.00005423818,0.00003551928,0.00001240983,0.000005502318,0.9986781,0.0004283244,0.000713775],"genre_scores_gemma":[0.0001668246,0.00002984151,0.00024009,0.00004522241,0.000003186839,0.0000448787,0.9988238,0.0001795568,0.0004666609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8487691,"threshold_uncertainty_score":0.5059177,"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."}}