{"id":"W6886942437","doi":"10.15468/dl.cpkctm","title":"Occurrence Download","year":2024,"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; Data set","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":[0.001002005,0.001894068,0.001559937,0.005161582,0.00103009,0.002979408,0.002874705,0.001899608,0.1992722],"category_scores_gemma":[0.006759079,0.0009755456,0.001212442,0.01127517,0.000436633,0.002543871,0.00271036,0.002060913,0.2745267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684749,"about_ca_system_score_gemma":0.002528993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241037,"about_ca_topic_score_gemma":0.0355613,"domain_scores_codex":[0.9989225,0.0001420969,0.0001439093,0.0003798376,0.0002361113,0.0001755278],"domain_scores_gemma":[0.9974387,0.0007405434,0.0002267415,0.000658848,0.0006616348,0.0002735426],"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":[0.00002358196,0.000008757081,0.0003077829,0.000511546,0.00001272902,0.00001225018,0.00002222729,0.00009912437,0.00008378307,0.0003886776,0.9970832,0.001446425],"study_design_scores_gemma":[0.00005220306,0.000005592391,0.001282646,0.0001690389,0.00001147605,0.00002803485,0.0000646529,0.0001061657,0.000139999,0.0007329307,0.9973935,0.00001367621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002798187,0.00002323726,0.00004203389,0.00003335587,0.00001059005,0.000004722823,0.9988179,0.000339405,0.0007008422],"genre_scores_gemma":[0.0001360462,0.00003879204,0.0002097774,0.00004739629,0.000003658931,0.00004450749,0.9987465,0.0001796292,0.0005937209],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8007278,"threshold_uncertainty_score":0.6666319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}