{"id":"W6887236650","doi":"10.15468/dl.tzbj4b","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); 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":[0.0008441351,0.001991409,0.001535263,0.00515474,0.0009330474,0.002500013,0.002647695,0.001766901,0.1680089],"category_scores_gemma":[0.005254899,0.0009407426,0.001131464,0.01038307,0.000412282,0.002275642,0.00250479,0.00184352,0.2347491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432515,"about_ca_system_score_gemma":0.002252324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921125,"about_ca_topic_score_gemma":0.03371914,"domain_scores_codex":[0.9989958,0.0001280255,0.0001334053,0.0003584568,0.0002151001,0.0001691844],"domain_scores_gemma":[0.9976301,0.000611541,0.0002352869,0.0006317506,0.0006113781,0.0002799134],"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":[0.00003267842,0.00001110977,0.0003797232,0.000536289,0.00001479247,0.00001438913,0.00002143573,0.0001150736,0.0001300957,0.0003861297,0.996832,0.001526516],"study_design_scores_gemma":[0.00006668824,0.000008078891,0.001737333,0.0001581816,0.00001344313,0.00003335247,0.00005619105,0.0001174277,0.0001768345,0.000738988,0.9968765,0.00001701344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003811873,0.00002347251,0.00003782241,0.00002718541,0.00001061134,0.000004514646,0.9988762,0.000321847,0.0006602929],"genre_scores_gemma":[0.0001408595,0.0000327438,0.0001827572,0.00004308974,0.00000354197,0.0000359039,0.9989206,0.0001357993,0.0005046912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8319911,"threshold_uncertainty_score":0.5620458,"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."}}