{"id":"W4220925552","doi":"10.3917/chaso.boute.2022.01.0015","title":"Portrait de la professionnalisation en contextes francophones","year":2022,"lang":"fr","type":"book-chapter","venue":"","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009630769,0.0003721118,0.0004730874,0.0001504238,0.001136585,0.00007713939,0.0004996654,0.0007785386,0.2293614],"category_scores_gemma":[0.001868199,0.0003670447,0.0002754772,0.0001619048,0.001225855,0.0002169694,0.000162151,0.001780754,0.0003920166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004810711,"about_ca_system_score_gemma":0.000762633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276773,"about_ca_topic_score_gemma":0.001409895,"domain_scores_codex":[0.9904466,0.007269925,0.0004804313,0.0005195883,0.0008052076,0.0004782847],"domain_scores_gemma":[0.9938951,0.005083313,0.0004280027,0.0003003913,0.00009442799,0.0001987451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009850413,0.00003444626,0.001055295,0.00005016469,0.00006365558,0.00008160023,0.02533328,0.00004398813,0.0002954237,0.8269413,0.0013655,0.1447256],"study_design_scores_gemma":[0.0002134872,0.00007715732,0.002611199,0.000165404,0.00007085563,0.0000166782,0.007355258,0.00005813011,0.00005603972,0.03939648,0.9495301,0.0004491944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002516209,0.003824662,0.003574096,0.00312476,0.003358866,0.0004785777,0.00002281494,0.0002221896,0.9828779],"genre_scores_gemma":[0.06706116,0.0006290457,0.03599112,0.0009514411,0.00134311,0.000066942,0.00005220773,0.00008116061,0.8938238],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9481646,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538754604692505,"score_gpt":0.3408528668842223,"score_spread":0.3154653208372973,"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."}}