{"id":"W2339388546","doi":"","title":"Analyzing Videotaped Interrogations and Confessions","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Interrogation; Suspect; Confession (law); Coercion (linguistics); Law enforcement; Psychology; Innocence; Persuasion; Criminology; Voluntariness; Legal psychology; Law; Social psychology; Political science; Psychoanalysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007044615,0.0001059088,0.0001306446,0.0002156666,0.0002032195,0.00002234594,0.0001145053,0.00009425539,0.002352172],"category_scores_gemma":[0.00006380723,0.00007020008,0.00007427885,0.0001360316,0.0001379683,0.0001132958,0.00002233648,0.0006945686,0.0005034182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800676,"about_ca_system_score_gemma":0.0001677591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001033301,"about_ca_topic_score_gemma":0.0003097344,"domain_scores_codex":[0.9982174,0.0001454378,0.0002539416,0.0002075236,0.0000762531,0.001099443],"domain_scores_gemma":[0.9994403,0.00008663193,0.0001286013,0.0001684143,0.00006306163,0.000113029],"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":[0.0001159821,0.00007540511,0.00597774,7.806132e-7,0.0002916375,0.000006201196,0.0005560801,1.522946e-7,0.003762762,0.5210858,0.002872548,0.4652549],"study_design_scores_gemma":[0.008846501,0.001444137,0.06456972,0.0001055925,0.0002069102,0.01144907,0.01734856,0.00001650266,0.0001247035,0.773113,0.1220434,0.0007319179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7423831,0.001554916,0.2073838,0.01204611,0.003146381,0.0001496856,0.000005897495,0.0001507561,0.03317934],"genre_scores_gemma":[0.9780089,0.0007845332,0.00003951197,0.0002305602,0.0002243773,0.00000777057,6.468106e-7,0.00001492787,0.02068872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.464523,"threshold_uncertainty_score":0.9985598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618310854433911,"score_gpt":0.3214699353643159,"score_spread":0.3052868268199768,"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."}}