{"id":"W6924858838","doi":"10.15468/dl.xjc4vs","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","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":[0.001142654,0.00212842,0.001656531,0.004706824,0.001060294,0.002655971,0.003043613,0.002399675,0.1382564],"category_scores_gemma":[0.006486618,0.0008608625,0.001282696,0.008772671,0.0005075207,0.002330377,0.002537335,0.002141933,0.2001068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638293,"about_ca_system_score_gemma":0.002424971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194985,"about_ca_topic_score_gemma":0.03678653,"domain_scores_codex":[0.9988782,0.000181682,0.0001394905,0.0004070615,0.0002266758,0.0001669204],"domain_scores_gemma":[0.9973565,0.0007966495,0.0002376819,0.0006872013,0.0006230217,0.000299019],"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":[0.00003352058,0.00001283882,0.0003653146,0.0005756775,0.00001626327,0.00001516194,0.00002026452,0.0001346328,0.00009812087,0.0003627138,0.9970932,0.001272378],"study_design_scores_gemma":[0.0001005141,0.00001004056,0.001691358,0.0002241804,0.00001662156,0.00004222937,0.00006846402,0.0001816331,0.0001889482,0.0009864126,0.9964707,0.00001897639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004372894,0.00003543683,0.0000442342,0.00004389227,0.00001279493,0.000006223763,0.9988964,0.0003365512,0.000580824],"genre_scores_gemma":[0.0001611318,0.00003912505,0.0002025439,0.00005618537,0.000003895206,0.0000475475,0.9989208,0.0001220008,0.0004468495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8617436,"threshold_uncertainty_score":0.4625139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04976635743252008,"score_gpt":0.2774632664244843,"score_spread":0.2276969089919642,"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."}}