{"id":"W2521059009","doi":"","title":"Laboratory twin former, Part I: Design and performance","year":2000,"lang":"en","type":"article","venue":"TAPPI Journal","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Engineering; Engineering drawing; Manufacturing engineering; Mechanical 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":[0.002203546,0.0009497333,0.0009321487,0.001123816,0.001054427,0.002355694,0.001870975,0.0009719016,0.03258522],"category_scores_gemma":[0.002955045,0.0007139961,0.0005226033,0.001287435,0.0004736694,0.002312557,0.001398219,0.001070953,0.01133818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882039,"about_ca_system_score_gemma":0.003732784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690997,"about_ca_topic_score_gemma":0.003008147,"domain_scores_codex":[0.9982052,0.000271633,0.0000731578,0.0004123005,0.0008125556,0.0002251619],"domain_scores_gemma":[0.9968618,0.0002370622,0.0002377131,0.0005224617,0.001431525,0.0007095645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008824771,0.001963957,0.01965481,0.001210246,0.0002995597,0.0002865428,0.0006308798,0.02378945,0.3972623,0.0114816,0.09121162,0.4433842],"study_design_scores_gemma":[0.001339248,0.02101094,0.02765461,0.00009781257,0.0005480296,0.001500893,0.0005033239,0.1439527,0.5436391,0.002223712,0.2572575,0.0002720942],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3588306,0.003211773,0.489873,0.001634576,0.001332927,0.003432357,0.004929604,0.02245119,0.1143041],"genre_scores_gemma":[0.7508351,0.0006954802,0.1477101,0.0005993418,0.000344047,0.001553151,0.00334229,0.002563801,0.09235672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03258522,"threshold_uncertainty_score":0.1090085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009523806296093751,"score_gpt":0.245572696198303,"score_spread":0.2360488899022092,"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."}}