{"id":"W2596317134","doi":"10.1149/ma2009-02/8/523","title":"Study of Sn-Co-C and Sn-Fe-C Alloys Prepared by Mechanical Milling","year":2009,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Powder Metallurgy Techniques and Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Metallurgy; Chemical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001961353,0.0001522177,0.0002455907,0.0004647271,0.0005694499,0.0002200138,0.0002963329,0.0002964977,0.002428669],"category_scores_gemma":[0.0003345617,0.0001256498,0.0001683944,0.0004056308,0.0002156681,0.0001623302,0.00008738434,0.0002019147,0.0003218315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875614,"about_ca_system_score_gemma":0.000171885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003172791,"about_ca_topic_score_gemma":0.00491334,"domain_scores_codex":[0.9998623,0.00001370257,0.000007717053,0.00002707075,0.00006511782,0.00002404415],"domain_scores_gemma":[0.9997956,0.00004305319,0.00002269574,0.00001848975,0.0001090819,0.00001111953],"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":[0.0004576169,0.00002651624,0.0006833395,0.0002289402,0.00001458939,0.0001075688,0.0001158531,0.0003226386,0.9945891,0.0003505734,0.0002598558,0.002843459],"study_design_scores_gemma":[0.00003574579,0.0006799318,0.015441,0.00001754343,0.00004848037,0.000271813,0.0001913485,0.002781669,0.9739612,0.00009413801,0.00646801,0.000009014408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924898,0.001805745,0.0005203345,0.0000436542,0.00002755665,0.00002299487,0.0002383701,0.00001704296,0.004834469],"genre_scores_gemma":[0.9958878,0.0002554157,0.0004656409,0.00001084253,0.000007485358,0.000006911663,0.0002140374,0.000009056956,0.00314288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003172791,"threshold_uncertainty_score":0.008124769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485049140523361,"score_gpt":0.2527771940304619,"score_spread":0.2379267026252283,"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."}}