{"id":"W6924915436","doi":"10.15468/dl.mh2eys","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); State (computer science)","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":[0.000958722,0.001990973,0.001529596,0.004907953,0.0009850092,0.002542136,0.002754731,0.002103482,0.1317685],"category_scores_gemma":[0.006041062,0.0008195993,0.001210216,0.009449756,0.000440814,0.002119303,0.002365111,0.002025585,0.2015502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621003,"about_ca_system_score_gemma":0.002175838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233304,"about_ca_topic_score_gemma":0.03788183,"domain_scores_codex":[0.9990354,0.0001476935,0.0001237046,0.0003321582,0.0002124222,0.0001486559],"domain_scores_gemma":[0.9976332,0.0007300214,0.0002021491,0.0005994036,0.0005761857,0.0002590191],"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":[0.00003060616,0.00001510782,0.0004872743,0.0005921692,0.00001583414,0.00001722943,0.00002759428,0.000147162,0.0001014634,0.0004088531,0.996506,0.001650805],"study_design_scores_gemma":[0.00007742849,0.000009271886,0.002303771,0.0002155872,0.00001438595,0.00003974737,0.00008626798,0.0001859416,0.0001689161,0.0008542384,0.9960266,0.00001766022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005128183,0.00003353824,0.0000457938,0.00004007465,0.00001173614,0.000005964825,0.998818,0.000371038,0.0006224765],"genre_scores_gemma":[0.000166999,0.00003845723,0.0001941206,0.00004378049,0.000003430389,0.00004463266,0.9989196,0.0001147908,0.0004742528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8682315,"threshold_uncertainty_score":0.4408097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671206151374537,"score_gpt":0.2570710565707519,"score_spread":0.2303589950570065,"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."}}