{"id":"W3200606441","doi":"10.1037/bne0000489","title":"Ambiguity and conflict: Dissecting uncertainty in decision-making.","year":2021,"lang":"en","type":"article","venue":"Behavioral Neuroscience","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Ludmer Centre for Neuroinformatics and Mental Health","keywords":"Ambiguity; Psychology; Cognitive psychology; Novelty; Neuroscience; Parallels; Dissociation (chemistry); Cognitive science; Conflict resolution; Social psychology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003268549,0.0007485999,0.0008280953,0.002196578,0.0008336076,0.007519985,0.001205792,0.001831723,0.01356628],"category_scores_gemma":[0.02409951,0.0003814417,0.0006190668,0.002755409,0.005794403,0.009451287,0.002163017,0.003228936,0.0008360389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002572431,"about_ca_system_score_gemma":0.002581582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313506,"about_ca_topic_score_gemma":0.007796761,"domain_scores_codex":[0.9986218,0.0006980583,0.0001124101,0.0002204375,0.0002865245,0.00006079487],"domain_scores_gemma":[0.9849797,0.0121779,0.00148923,0.0003315955,0.0004130196,0.0006086888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004613078,0.000143496,0.02154483,0.00348539,0.0003109569,0.0006539745,0.006157945,0.00678421,0.001448978,0.531621,0.02135156,0.4060364],"study_design_scores_gemma":[0.00003216931,0.0001064624,0.02470285,0.001248105,0.000106524,0.000341652,0.003117777,0.01181362,0.0004361048,0.9323623,0.02567521,0.00005721171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1943363,0.1868712,0.2486691,0.06777021,0.002411479,0.0004672635,0.003624635,0.0004032104,0.2954467],"genre_scores_gemma":[0.8497399,0.06161143,0.07690439,0.003759315,0.0006384485,0.0005419253,0.00102733,0.00007699502,0.005700163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01356628,"threshold_uncertainty_score":0.04538375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06099492536769696,"score_gpt":0.3575613998872831,"score_spread":0.2965664745195861,"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."}}