{"id":"W7076154797","doi":"10.34894/jv4knu","title":"Neural Mechanisms Underlying Diversification of Choice","year":2020,"lang":"en","type":"dataset","venue":"DataverseNL","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Voxel; Pattern recognition (psychology); Segmentation; Preprocessor; Artificial neural network; Normalization (sociology); Stimulus (psychology); Functional magnetic resonance imaging","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":[0.001001342,0.0002256398,0.0004437368,0.0006011365,0.0003033194,0.002021589,0.0005776706,0.0007010471,0.008628015],"category_scores_gemma":[0.004370382,0.0003381552,0.0006126886,0.0004388698,0.000995441,0.001622936,0.001851149,0.0008567191,0.001461342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005324312,"about_ca_system_score_gemma":0.0003372142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009819985,"about_ca_topic_score_gemma":0.000860405,"domain_scores_codex":[0.9993089,0.000123371,0.00003479954,0.0002417277,0.0001783516,0.0001128945],"domain_scores_gemma":[0.9983315,0.0004645648,0.0003298274,0.0003380237,0.0001651322,0.000370971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002563215,0.0002977439,0.09875228,0.0008535873,0.0008161542,0.001189297,0.004146078,0.01281939,0.2469188,0.1921891,0.02877161,0.4106828],"study_design_scores_gemma":[0.0002746025,0.0005971683,0.4777614,0.0003220115,0.0001916753,0.001603021,0.001178029,0.04298595,0.02185956,0.4265513,0.02644817,0.0002272409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8412963,0.002568939,0.07238461,0.002593623,0.0001827559,0.0001018439,0.002268881,0.0007186143,0.07788448],"genre_scores_gemma":[0.9867103,0.0005061612,0.007216275,0.000287073,0.00003114013,0.00005637567,0.0008719772,0.0001140237,0.004206722],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.008628015,"threshold_uncertainty_score":0.02886355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210747610794026,"score_gpt":0.2703888034540834,"score_spread":0.2382813273461431,"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."}}