{"id":"W2474273567","doi":"10.3389/fnhum.2016.00309","title":"Stabilizing Constructs through Collaboration across Different Research Fields as a Way to Foster the Integrative Approach of the Research Domain Criteria (RDoC) Project","year":2016,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Research Domain Criteria; Domain (mathematical analysis); Computer science; Data science; Field (mathematics); Psychology; Management science; Mathematics; Engineering; Cognition; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002259424,0.0001963562,0.0002370422,0.0002349874,0.001403807,0.0003449984,0.001543665,0.00008884021,0.000006958522],"category_scores_gemma":[0.004271292,0.00008935502,0.00006284584,0.002996427,0.003027942,0.0005049116,0.0009039948,0.0006167,0.000001056257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002426682,"about_ca_system_score_gemma":0.0001492806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006198211,"about_ca_topic_score_gemma":0.0001696441,"domain_scores_codex":[0.9939269,0.002481269,0.0004079695,0.0009613197,0.001414223,0.0008083407],"domain_scores_gemma":[0.9978639,0.0008128553,0.0001209916,0.0008291699,0.0003077358,0.00006529911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001255222,0.000108873,0.00210419,0.00002262991,8.681517e-7,0.000004841721,0.01229426,0.00002517665,0.9664618,0.01126231,0.006413655,0.001175922],"study_design_scores_gemma":[0.001623088,0.002341136,0.01446463,0.000493858,0.000005545984,0.0000463533,0.03746931,0.004309124,0.8317771,0.09851276,0.008332193,0.0006249077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984163,0.00001053335,0.005806632,0.00444003,0.001689575,0.001956702,0.00004602066,0.00002044297,0.001867041],"genre_scores_gemma":[0.9976305,0.00002117551,0.0003269189,0.0007533854,0.00005289612,0.0002138225,4.333531e-7,0.00001746003,0.0009833539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346847,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592349397437719,"score_gpt":0.4249651777317524,"score_spread":0.2657302379879805,"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."}}