{"id":"W6962771355","doi":"10.15468/dl.xfc5uk","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Ion Channels and Receptors","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Real world data","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":[0.0008676652,0.002204018,0.001761249,0.004121568,0.0009705218,0.002648623,0.003161361,0.002156218,0.1352626],"category_scores_gemma":[0.005021364,0.0007932724,0.001227861,0.008083033,0.000472234,0.002034709,0.002338675,0.002040759,0.2255414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675765,"about_ca_system_score_gemma":0.002534958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051646,"about_ca_topic_score_gemma":0.03702617,"domain_scores_codex":[0.9991931,0.0001094351,0.00009296553,0.0002846876,0.0001903415,0.0001294753],"domain_scores_gemma":[0.9981793,0.0005112156,0.0001558266,0.0004648886,0.0004497355,0.0002388921],"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":[0.00003226788,0.00001130339,0.0002733813,0.0004950024,0.00001537405,0.00001562329,0.00001875156,0.0001309885,0.0001116057,0.0003506329,0.9971737,0.001371279],"study_design_scores_gemma":[0.00009974087,0.00001047332,0.001702678,0.000189999,0.00001894437,0.00005054226,0.00006328836,0.000250922,0.0002483572,0.001116641,0.9962282,0.00002016108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004770992,0.0000462558,0.00005348203,0.00004673125,0.0000134449,0.000005865844,0.9986045,0.0004998448,0.0006822328],"genre_scores_gemma":[0.000157563,0.00004530092,0.0001930709,0.00004999086,0.000003574483,0.00004592164,0.9988362,0.0001346631,0.0005337729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8647374,"threshold_uncertainty_score":0.4524985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898698770847653,"score_gpt":0.2315908740439662,"score_spread":0.2026038863354897,"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."}}