{"id":"W6905724491","doi":"10.15468/dl.kkkrty","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); Data set; Set (abstract data type)","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":[0.0008667541,0.002052526,0.001552296,0.00478768,0.001110171,0.002518103,0.002895596,0.00228031,0.174953],"category_scores_gemma":[0.006107401,0.0009375972,0.001176196,0.009191666,0.0004802247,0.002631033,0.002704737,0.002107643,0.2294551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892159,"about_ca_system_score_gemma":0.002522447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03148548,"about_ca_topic_score_gemma":0.05285055,"domain_scores_codex":[0.9989836,0.0001310162,0.0001191813,0.0003397669,0.0002471223,0.0001793176],"domain_scores_gemma":[0.9974995,0.0006791986,0.000206676,0.0006368362,0.0006931,0.0002845904],"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":[0.00002463706,0.00001102268,0.0003151773,0.0004025067,0.00001020761,0.00001381724,0.00002215865,0.0001059321,0.00008604815,0.0003325217,0.9974044,0.001271555],"study_design_scores_gemma":[0.00006993885,0.000008076006,0.001639643,0.0001845608,0.000011633,0.00003876538,0.00009028096,0.0001775095,0.0001817504,0.0007589951,0.9968207,0.0000181721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004780094,0.00002731898,0.00005026144,0.00004528016,0.00001371852,0.000005933191,0.9985392,0.0005013682,0.0007691458],"genre_scores_gemma":[0.0001944368,0.00003398071,0.0002461963,0.00005011565,0.000003878742,0.00004328215,0.9986527,0.0001897625,0.0005856136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825047,"threshold_uncertainty_score":0.5852761,"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."}}