{"id":"W319169846","doi":"","title":"Conversational Moves in Talking about Body-image in all Female Interactions MOUVEMENT CONVERSATIONNEL DANS LA DISCUSSION SUR L'IMAGE DU CORPS DANS TOUTES LES INTERACTIONS FÉMININES 女性會話中談論身體形象的話步研究","year":2008,"lang":"fr","type":"article","venue":"Cross-cultural communication","topic":"Humor Studies and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Image (mathematics); Psychology; Communication; Linguistics; Computer science; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005275522,0.0005267355,0.0005293753,0.0002631778,0.001548585,0.0004056573,0.0008271422,0.0002447627,0.001175695],"category_scores_gemma":[0.0003839241,0.0004676831,0.0002506534,0.0006360443,0.002364732,0.001679954,0.0004987364,0.001050565,0.0002458047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052363,"about_ca_system_score_gemma":0.0001019313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01077484,"about_ca_topic_score_gemma":0.02069271,"domain_scores_codex":[0.9962217,0.0008076595,0.00134262,0.0007126284,0.0003192887,0.0005961644],"domain_scores_gemma":[0.9965548,0.00102009,0.000677485,0.001061978,0.0005383139,0.0001473669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003234373,0.004786219,0.4948232,0.0002010726,0.0004758266,0.0001021168,0.3614893,0.001066577,0.05570873,0.06064203,0.01536428,0.005017274],"study_design_scores_gemma":[0.002506275,0.00006396353,0.7654962,0.0004600713,0.00007881098,0.0001734463,0.09447505,0.004663622,0.0007992468,0.000420736,0.1302383,0.0006243404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429915,0.0008782971,0.0006429304,0.01815279,0.0007957789,0.0009145523,0.0003145449,0.0001214067,0.03518819],"genre_scores_gemma":[0.9741505,0.00227024,0.001752445,0.0002200882,0.0002077455,0.00065466,0.001649496,0.0000564194,0.01903844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.270673,"threshold_uncertainty_score":0.9997775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04433164363009448,"score_gpt":0.3690489845001834,"score_spread":0.324717340870089,"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."}}