{"id":"W4249931149","doi":"10.1007/s11661-003-1014-z","title":"Communications","year":2003,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Composite Material Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Teck (Canada)","funders":"","keywords":"Business; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009498728,0.00008408275,0.0001385534,0.0000281234,0.00008982205,0.00008788646,0.00007862828,0.00004686536,0.00151528],"category_scores_gemma":[0.000002524107,0.00008517824,0.00002476008,0.00006669219,0.00003232567,0.00006893731,0.000005013451,0.00004678011,0.00004660797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009112481,"about_ca_system_score_gemma":0.000003052075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001123118,"about_ca_topic_score_gemma":0.00001215943,"domain_scores_codex":[0.9995564,0.00004507679,0.0001535438,0.00008294741,0.00004476269,0.0001173007],"domain_scores_gemma":[0.9996871,0.00001890246,0.000008288984,0.0002157483,0.00001017191,0.00005980073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009617523,0.00009699142,1.970844e-7,0.00009836982,0.0001055929,0.000007517794,0.0001066713,0.0009187074,0.9426945,0.05293225,0.00004246632,0.002987058],"study_design_scores_gemma":[0.0008468766,0.00005995213,0.00007846845,0.0000338213,0.0001690809,0.0004000373,0.00006022042,0.00691282,0.390105,0.004769008,0.5959729,0.0005917568],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.429265,0.0007013619,0.5608708,0.0001037657,0.001757977,0.0002717047,0.00005804633,0.0006467339,0.006324585],"genre_scores_gemma":[0.9943371,0.00050698,0.004838703,0.00001372431,0.00001035905,0.0000401874,0.000004933984,0.00001635727,0.0002316259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5959305,"threshold_uncertainty_score":0.9993975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232816938446528,"score_gpt":0.1967531867108936,"score_spread":0.1844250173264283,"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."}}