{"id":"W3109752097","doi":"10.7202/1073511ar","title":"Ethnographier les émotions occurrentes, un enjeu pour l’apprentissage professionnel","year":2020,"lang":"fr","type":"article","venue":"Recherches qualitatives","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006807987,0.0005663518,0.0003968533,0.001759696,0.004266127,0.004659051,0.0006824213,0.001280915,0.006362181],"category_scores_gemma":[0.01244114,0.0003039551,0.0004816361,0.001187406,0.005756509,0.004785231,0.003033719,0.001656496,0.0009741454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183321,"about_ca_system_score_gemma":0.002267371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00424518,"about_ca_topic_score_gemma":0.007797753,"domain_scores_codex":[0.9895713,0.007801173,0.0003242078,0.0006292086,0.001190985,0.0004831414],"domain_scores_gemma":[0.9892325,0.007793068,0.0008008607,0.0007197268,0.001111789,0.0003419558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001396307,0.0001140463,0.0100143,0.0009480825,0.00003254308,0.0009328923,0.8878101,0.0002075717,0.008633615,0.02303967,0.003585709,0.06454177],"study_design_scores_gemma":[0.00001975665,0.0001563844,0.0168213,0.0008885816,0.00003504722,0.000831067,0.874881,0.0003609608,0.003591516,0.009697551,0.0926583,0.00005840793],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8114205,0.007462384,0.06086503,0.01018797,0.0008774688,0.0006749788,0.0004202069,0.000168391,0.1079232],"genre_scores_gemma":[0.9646102,0.00327734,0.01314196,0.00119437,0.0001497869,0.0006524008,0.0001190884,0.0000826519,0.01677213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006807987,"threshold_uncertainty_score":0.03600448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8329152667301833,"score_gpt":0.5854749371773822,"score_spread":0.2474403295528012,"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."}}