{"id":"W63490078","doi":"","title":"Petit malaise deviendra grand. Lemming de Dominik Moll Lemming de Dominik Moll","year":2006,"lang":"fr","type":"article","venue":"Ciné bulles","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Malaise; Medicine; Surgery","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001198125,0.0005652311,0.0008081298,0.0004186144,0.001547479,0.001201998,0.0006051248,0.0002285012,0.006280951],"category_scores_gemma":[0.0007733112,0.0005398739,0.0006327848,0.0001983499,0.0009499177,0.0002527084,0.0002159094,0.0005629784,0.0007580778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687058,"about_ca_system_score_gemma":0.0004490706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031466,"about_ca_topic_score_gemma":0.00865279,"domain_scores_codex":[0.9958467,0.0002696215,0.0008974445,0.0006766948,0.0006059798,0.001703584],"domain_scores_gemma":[0.9977217,0.0006585711,0.0002796319,0.000561806,0.0003878655,0.0003904586],"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":[0.0004425945,0.001020052,0.00967049,0.001914243,0.0008577352,0.002541475,0.0172866,0.0006657804,0.0009140665,0.5891439,0.3538072,0.02173591],"study_design_scores_gemma":[0.001587057,0.0001203736,0.0005545533,0.0006307918,0.0004860449,0.00006708272,0.004442737,0.001626868,0.0007183655,0.01464006,0.9744115,0.0007145358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3951983,0.2079763,0.001865069,0.01188485,0.002337533,0.0009473205,0.0006099898,0.0002966396,0.3788839],"genre_scores_gemma":[0.7757667,0.00277141,0.001666863,0.0003595841,0.008770566,0.00007769387,0.00009280677,0.0001171081,0.2103773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6206043,"threshold_uncertainty_score":0.9998348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130090932164994,"score_gpt":0.2462844845176496,"score_spread":0.2332753913011502,"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."}}