{"id":"W4406123607","doi":"","title":": Talking face-to-face about the crip dimension of face-to-face interactions","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Face (sociological concept); Dimension (graph theory); Face-to-face; Computer science; Mathematics; Sociology; Philosophy; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001753687,0.0006823656,0.0003041684,0.0005377485,0.00269604,0.003880254,0.0009460733,0.002711552,0.02236285],"category_scores_gemma":[0.01190197,0.0001692491,0.0003355041,0.0003135217,0.001468778,0.004655344,0.003160205,0.001637059,0.006250964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004760476,"about_ca_system_score_gemma":0.0005144915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322763,"about_ca_topic_score_gemma":0.001786417,"domain_scores_codex":[0.9976425,0.001493846,0.00003273535,0.0002146664,0.0004465131,0.0001698207],"domain_scores_gemma":[0.9969628,0.001886344,0.0001912251,0.0001789315,0.0004376561,0.0003429814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001860839,0.0003512697,0.007496815,0.001712738,0.00009605056,0.003243125,0.290048,0.0006172687,0.06455901,0.02024275,0.1694481,0.440324],"study_design_scores_gemma":[0.000170829,0.001146517,0.05304384,0.002392439,0.0002710281,0.01349882,0.2867334,0.007536204,0.01967772,0.03146918,0.5834351,0.0006249889],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3233724,0.004939096,0.08881897,0.02244345,0.007329755,0.001053498,0.0009587338,0.003596864,0.5474872],"genre_scores_gemma":[0.9153304,0.001313023,0.02014307,0.01175592,0.00200083,0.0006716106,0.0004049297,0.0005740949,0.04780598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02236285,"threshold_uncertainty_score":0.07481122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030514916289616,"score_gpt":0.3384404181187317,"score_spread":0.3081352689558355,"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."}}