{"id":"W4248773331","doi":"10.1139/p10-908","title":"Table of Contents, Rev. Mex. Fis. Volume 56, number 3 / Table des matières, Rev. Mex. Fis. volume 56, numéro 3","year":2010,"lang":"fr","type":"article","venue":"Canadian Journal of Physics","topic":"Copper-based nanomaterials and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Physics; Table (database); Volume (thermodynamics); Thermodynamics; Database","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001103384,0.000500847,0.001104172,0.0001384934,0.000644461,0.0005206892,0.001185874,0.0002938544,0.01543422],"category_scores_gemma":[0.0003614449,0.0005225603,0.0004314326,0.0007685013,0.001043009,0.001158377,0.00008995033,0.0006001943,0.0007362623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661214,"about_ca_system_score_gemma":0.003137375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0777755,"about_ca_topic_score_gemma":0.06401242,"domain_scores_codex":[0.9960202,0.0002118406,0.001511455,0.0004771444,0.0005296363,0.001249726],"domain_scores_gemma":[0.9945869,0.0001207092,0.001451987,0.0009045698,0.001458486,0.001477365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005928244,0.0003189455,0.01047931,0.0006023817,0.0001808127,0.000100862,0.0008809637,0.0003382694,0.4728182,0.0119726,0.4957781,0.006470304],"study_design_scores_gemma":[0.001087649,0.00019779,0.002088952,0.0008657123,0.000344291,0.0002121725,0.0002894391,0.0004156219,0.1384171,0.007362559,0.8480145,0.0007042202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729612,0.003012786,0.001362028,0.00504434,0.008759075,0.0006576017,0.004346251,0.00002711677,0.003829547],"genre_scores_gemma":[0.9597714,0.000320605,0.009043935,0.0004035594,0.004062397,0.00002920193,0.00007017039,0.0001187676,0.02617999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3522364,"threshold_uncertainty_score":0.9997226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800289095356655,"score_gpt":0.2367804099350383,"score_spread":0.2187775189814717,"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."}}