{"id":"W6922206755","doi":"10.1051/jp4:20030616/pdf","title":"Imagerie médicale avec des sources X créées par laser","year":2003,"lang":"fr","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Ocular and Laser Science Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laser; Laser beams; Pulsed laser","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":[0.0008973586,0.0004381874,0.0003223151,0.0008531636,0.0008483931,0.001724126,0.0005380753,0.0009457438,0.01065975],"category_scores_gemma":[0.0008687588,0.0003890308,0.0003925261,0.0009880099,0.0007978459,0.000924253,0.0007396103,0.0009200409,0.001807592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002382864,"about_ca_system_score_gemma":0.001610444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02648349,"about_ca_topic_score_gemma":0.04435175,"domain_scores_codex":[0.9994552,0.00004818119,0.00001333215,0.00009436894,0.0003328274,0.00005617689],"domain_scores_gemma":[0.9992716,0.0002992237,0.00006567402,0.00006982082,0.0002566607,0.0000369905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005124208,0.00008943083,0.004698412,0.0005947495,0.0000716952,0.0007770353,0.001403364,0.004803055,0.8631277,0.004977231,0.00386069,0.1150841],"study_design_scores_gemma":[0.0001122394,0.0008667309,0.03936608,0.0002211124,0.0001741284,0.003841623,0.001351445,0.01973073,0.8167495,0.001289094,0.116088,0.0002093802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5946152,0.009893353,0.2921541,0.002064974,0.0003275069,0.0003453343,0.0009132707,0.004239556,0.09544665],"genre_scores_gemma":[0.7295677,0.005318104,0.1676487,0.0005672785,0.00008873262,0.0001810218,0.0005544843,0.0004962116,0.09557778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02648349,"threshold_uncertainty_score":0.05265868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920127301946318,"score_gpt":0.2772903941241551,"score_spread":0.258089121104692,"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."}}