{"id":"W6960717250","doi":"10.1371/journal.pone.0228384.t002","title":"As previously reported in [38], Table 2 indicates correlations between PCL-R (total, factor and facet scores following the Hare model) and CAPP (total and domain scores) for the whole sample, for inmates with a European PCL-R cut-off score of 25 or more (italics), and for inmates with a North American/Canadian PCL-R cut-off score of 30 or more (underlined).","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facet (psychology); Table (database); Domain (mathematical analysis); Factor (programming language); Factor analysis","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":[0.0020247,0.001763659,0.001716002,0.003960468,0.0008796746,0.001947951,0.002301451,0.001296457,0.07483943],"category_scores_gemma":[0.01232697,0.0006494494,0.001498499,0.005801421,0.0003743416,0.001026802,0.001918515,0.001570487,0.05641541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433372,"about_ca_system_score_gemma":0.002116665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03992338,"about_ca_topic_score_gemma":0.0818587,"domain_scores_codex":[0.9984219,0.0003712365,0.0002356698,0.0005507668,0.0002434261,0.0001770493],"domain_scores_gemma":[0.9956566,0.002055566,0.0005691593,0.0005815413,0.0009413466,0.000195807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001918352,0.00005863752,0.01242767,0.002395187,0.0002703372,0.00005351685,0.00009029896,0.000450267,0.0001759334,0.0005439963,0.9781617,0.00518071],"study_design_scores_gemma":[0.0007229776,0.00005253054,0.0640353,0.001467942,0.0003657609,0.0002109904,0.0003698914,0.0006400431,0.0003593634,0.001532421,0.9301594,0.00008334434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004639534,0.00008595062,0.000107322,0.00005402537,0.00001655117,0.00001868782,0.9987483,0.00008653177,0.0004187594],"genre_scores_gemma":[0.001004805,0.00007069326,0.000445277,0.00005360312,0.00000615326,0.0002215789,0.9973001,0.00006301906,0.000834839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9600766,"threshold_uncertainty_score":0.2503628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06518821445233201,"score_gpt":0.2701114882188625,"score_spread":0.2049232737665305,"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."}}