{"id":"W7095286272","doi":"","title":"II PROFILE OF TORONTO Toronto 2001..................................................7","year":2001,"lang":"en","type":"article","venue":"","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.008775448,0.005725331,0.006932269,0.001102322,0.003927101,0.0008263875,0.009862931,0.002767763,0.1052311],"category_scores_gemma":[0.001658628,0.005565877,0.003531556,0.00356117,0.003851278,0.01090159,0.005014368,0.002253314,0.003263784],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006922375,"about_ca_system_score_gemma":0.002911916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.041556,"about_ca_topic_score_gemma":0.01321291,"domain_scores_codex":[0.9631534,0.001828824,0.009402076,0.00709226,0.008039602,0.01048383],"domain_scores_gemma":[0.9764098,0.001819769,0.003993236,0.009050217,0.003710903,0.005016111],"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":[0.00365755,0.006680027,0.007522169,0.001309751,0.001101134,0.0009279432,0.003382209,0.002633759,0.8103256,0.05969719,0.06613959,0.03662314],"study_design_scores_gemma":[0.01791347,0.008098613,0.006198957,0.001642,0.001507525,0.005607016,0.009688144,0.01280253,0.2824906,0.004602737,0.6344645,0.01498386],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4843471,0.02244491,0.007465964,0.000896605,0.006530576,0.004045258,0.0008119454,0.005691268,0.4677664],"genre_scores_gemma":[0.9063496,0.01991802,0.03491134,0.001273001,0.002801444,0.001856428,0.0006425662,0.001557471,0.03069014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5683249,"threshold_uncertainty_score":0.9988596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961358627478885,"score_gpt":0.2923206350485067,"score_spread":0.2727070487737179,"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."}}