{"id":"W6960697515","doi":"10.1371/journal.pone.0017798.t002","title":"Sample characteristics.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Alexithymia; Interpersonal Reactivity Index; Sample (material); Index (typography); Depression (economics)","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":[],"consensus_categories":[],"category_scores_codex":[0.003913513,0.00106164,0.001344964,0.002450744,0.002444511,0.001752821,0.002132345,0.00133505,0.1903329],"category_scores_gemma":[0.01769871,0.0006613911,0.0005100525,0.003237011,0.0003221553,0.001434326,0.001498927,0.001913816,0.07034009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002079024,"about_ca_system_score_gemma":0.004270383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125941,"about_ca_topic_score_gemma":0.01471224,"domain_scores_codex":[0.9978204,0.0005097152,0.0003497666,0.0004241757,0.0006603821,0.0002355689],"domain_scores_gemma":[0.9953899,0.0008842927,0.0003533018,0.0005729821,0.002325092,0.0004743701],"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":[0.003523983,0.001387536,0.07066151,0.001625218,0.0001128949,0.0007909638,0.005109461,0.0001852004,0.001154724,0.006142444,0.760444,0.1488622],"study_design_scores_gemma":[0.0007929296,0.0009587099,0.1266702,0.002316648,0.0001365748,0.002016153,0.005325318,0.0007146616,0.0006700566,0.008715973,0.8515664,0.0001163957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1184451,0.009292229,0.01615623,0.01016678,0.00246311,0.03806446,0.584547,0.001452967,0.219412],"genre_scores_gemma":[0.1975546,0.01007257,0.03630677,0.01949826,0.001061147,0.1921991,0.2826611,0.001687864,0.2589586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1903329,"threshold_uncertainty_score":0.6367271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409000838664668,"score_gpt":0.2580556941410828,"score_spread":0.217155610274616,"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."}}