{"id":"W2785070787","doi":"","title":"Conception d’un système d’alignement temporel basé sur une sonde temporelle pour le scanner LabPET II","year":2017,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.001836599,0.001095982,0.001229556,0.001577536,0.0009077174,0.004256852,0.00231644,0.002499845,0.01693468],"category_scores_gemma":[0.003261765,0.001128435,0.000931489,0.0009040548,0.0008985753,0.002128809,0.001714653,0.001574815,0.008077683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009803403,"about_ca_system_score_gemma":0.002077727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004275152,"about_ca_topic_score_gemma":0.002492915,"domain_scores_codex":[0.9989727,0.0001379901,0.00007756329,0.0003581421,0.0003414116,0.0001122969],"domain_scores_gemma":[0.998773,0.0003052921,0.0001142214,0.0001978912,0.0004888145,0.0001206597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003027461,0.0001813089,0.008290863,0.001244728,0.0003135735,0.001768347,0.001591002,0.03628969,0.2485468,0.0214598,0.03664188,0.6406445],"study_design_scores_gemma":[0.0003294894,0.0009664148,0.007750132,0.0004159294,0.0003439971,0.003569529,0.0005737329,0.4796076,0.2281628,0.01003375,0.267742,0.000504493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01292501,0.0007761917,0.9595816,0.0005503491,0.0003489969,0.0003019412,0.0005919485,0.01903891,0.005884967],"genre_scores_gemma":[0.1550746,0.0006491973,0.8233179,0.0006899494,0.0001738022,0.0008439127,0.002128672,0.001997554,0.01512438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01693468,"threshold_uncertainty_score":0.05665207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157110022114635,"score_gpt":0.1899522228895852,"score_spread":0.1783811226684389,"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."}}