{"id":"W4231948162","doi":"10.1017/s1431927602021128","title":"International Metallographic Society","year":2002,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Metallurgy and Cultural Artifacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Library science; Engineering; Engineering ethics; Computer science","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":[0.001049948,0.0009931169,0.0005781653,0.002571542,0.001209201,0.003984701,0.0008961287,0.001434743,0.2274241],"category_scores_gemma":[0.001488343,0.0003612353,0.0003873319,0.00197835,0.0004984551,0.001758957,0.001736112,0.001778532,0.143974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320024,"about_ca_system_score_gemma":0.003176218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003012214,"about_ca_topic_score_gemma":0.007657663,"domain_scores_codex":[0.9989466,0.00004373331,0.00007603093,0.0001715312,0.0006290229,0.0001331594],"domain_scores_gemma":[0.9982544,0.00005186056,0.00008638601,0.0001617703,0.001153963,0.0002916507],"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":[0.00003255092,0.0000275356,0.0005592369,0.0001599364,0.000007960948,0.0001362885,0.00006723315,0.00009145329,0.001369,0.01064561,0.7896929,0.1972102],"study_design_scores_gemma":[0.000001321442,0.00000594318,0.0003916181,0.00001744045,0.000001602123,0.00008850657,0.00002462097,0.00003164783,0.0001814515,0.0002686059,0.9989858,0.000001435813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003213078,0.02562575,0.003803922,0.02340864,0.04091353,0.0001185582,0.001746271,0.001263031,0.8999073],"genre_scores_gemma":[0.005247521,0.00823598,0.00131583,0.0005508781,0.00212412,0.00003163902,0.000733106,0.0001539132,0.9816071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2274241,"threshold_uncertainty_score":0.7608095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548319634661227,"score_gpt":0.2882267738838429,"score_spread":0.2627435775372307,"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."}}