{"id":"W7054434595","doi":"","title":"Analyse du potentiel d’application des textiles intelligents en santé et en sécurité au travail","year":2018,"lang":"fr","type":"article","venue":"","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hesperian; Pyrometallurgy; Ultrametric space","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001708701,0.0006144287,0.0006371781,0.001853053,0.0005058318,0.002051762,0.0007217639,0.00139597,0.007225232],"category_scores_gemma":[0.002973316,0.0004233709,0.0008744273,0.001651201,0.0005101254,0.001524148,0.000710902,0.0006450982,0.002105128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009323978,"about_ca_system_score_gemma":0.0005979522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215525,"about_ca_topic_score_gemma":0.002624768,"domain_scores_codex":[0.9977105,0.0002935237,0.00009051799,0.0003563872,0.001372842,0.0001762528],"domain_scores_gemma":[0.9972203,0.001024322,0.0002555606,0.0002113794,0.001208814,0.00007959636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009857159,0.0002586391,0.02942268,0.003877094,0.000244386,0.001297898,0.00224791,0.02456523,0.5019568,0.006485759,0.005641641,0.4230163],"study_design_scores_gemma":[0.0000719342,0.003668781,0.2213649,0.001472596,0.0007233772,0.003735638,0.005828405,0.1130009,0.4391593,0.00631649,0.2042969,0.0003607431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7197458,0.0274982,0.1643651,0.001653555,0.0006965477,0.0003651933,0.001660721,0.001189428,0.08282541],"genre_scores_gemma":[0.9215685,0.008981571,0.02864485,0.0003172192,0.0001086959,0.0001863027,0.0007876238,0.0001678535,0.03923755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007225232,"threshold_uncertainty_score":0.02417088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206362327632352,"score_gpt":0.2594995604318972,"score_spread":0.2474359371555737,"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."}}