{"id":"W6960609393","doi":"10.1371/journal.pone.0097071.t002","title":"Regions correlating with emotion regulation ability.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Chromatography in Natural Products","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perception; Feature (linguistics); Set (abstract data type); Electroencephalography","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":[0.0004449397,0.001552064,0.001348028,0.001319014,0.0005591391,0.001599639,0.001998842,0.001602437,0.04338096],"category_scores_gemma":[0.003157755,0.0003210693,0.001917768,0.001872113,0.0002475553,0.0006636126,0.001346473,0.001289111,0.03467996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007747816,"about_ca_system_score_gemma":0.001025662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973909,"about_ca_topic_score_gemma":0.04713637,"domain_scores_codex":[0.9996518,0.0000370014,0.00002615717,0.0001709147,0.00003719897,0.0000769976],"domain_scores_gemma":[0.9993723,0.0002187422,0.0001077001,0.0001032921,0.0001119553,0.00008599095],"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":[0.0006636196,0.00005628895,0.01536037,0.00279458,0.0005887188,0.0001146808,0.00008477901,0.0006240759,0.001253159,0.0007311273,0.9665095,0.01121907],"study_design_scores_gemma":[0.001205865,0.0001259935,0.2142521,0.002037136,0.001788195,0.001020179,0.0003811281,0.001547364,0.002191636,0.004316857,0.7710058,0.0001277371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002464889,0.001203424,0.0001759184,0.0001979806,0.00006378401,0.00001071336,0.9942948,0.0002559095,0.001332539],"genre_scores_gemma":[0.0112911,0.0005506183,0.0005745564,0.0001963897,0.00003864329,0.0001239873,0.9848452,0.0001617631,0.002217658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04338096,"threshold_uncertainty_score":0.1451237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512473860979057,"score_gpt":0.2569911810581206,"score_spread":0.2218664424483301,"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."}}