{"id":"W4302012041","doi":"10.32920/ryerson.14668449","title":"FPCB magnetic micromirror for laser marking/engraving systems","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"CMC Microsystems","keywords":"Engraving; Laser scanning; Microelectromechanical systems; Laser; Scanner; Materials science; Optics; Polyimide; Substrate (aquarium); Optoelectronics; Nanotechnology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002688133,0.0004275432,0.0002196428,0.0002473159,0.0002116402,0.0005778105,0.0006187969,0.0005255638,0.002682659],"category_scores_gemma":[0.0005305816,0.000304332,0.0002173019,0.0002251794,0.0002555331,0.0004539891,0.0002879125,0.0005248029,0.001159512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552511,"about_ca_system_score_gemma":0.0003232697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005401413,"about_ca_topic_score_gemma":0.0006616388,"domain_scores_codex":[0.9993201,0.0000726424,0.00002946792,0.0001179137,0.0004088242,0.0000510102],"domain_scores_gemma":[0.9997548,0.00005540263,0.00004863139,0.0000552198,0.00007017636,0.00001569156],"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":[0.00007739583,0.00002158435,0.000181412,0.0002451027,0.00000961776,0.0001496609,0.00007256167,0.002250772,0.8948533,0.006142832,0.0009912014,0.09500446],"study_design_scores_gemma":[0.00002063223,0.0002984083,0.001430846,0.00002758529,0.00001972361,0.0007717648,0.00003792881,0.02547352,0.9284512,0.0009035348,0.0425353,0.000029589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1925793,0.007565666,0.7614279,0.0004443727,0.0007080592,0.0002645218,0.0002158334,0.003195632,0.03359887],"genre_scores_gemma":[0.6101667,0.001291864,0.3726512,0.00008984884,0.00007324827,0.0001149664,0.0001645613,0.0001672972,0.01528039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002682659,"threshold_uncertainty_score":0.008974373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608408873696275,"score_gpt":0.2554455726160458,"score_spread":0.229361483879083,"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."}}