{"id":"W4213230479","doi":"10.29327/aconemi.389207","title":"USO DE CAD/CAM, NANOTECNOLOGIA, MÉTODO DE ELEMENTOS FINITOS, INTENET OF THINGS E IMPRESSÃO 3D NO DESENVOLVIMENTO DE UM DISPOSITIVO DE MEDIÇÃO DE FORÇA DE MORDIDA DE BAIXO CUSTO.","year":2022,"lang":"pt","type":"article","venue":"Anais do Congresso Internacional de Engenharia Mecânica e Industrial","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Art","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":[0.001652813,0.0005372449,0.0005936722,0.001401929,0.0006833017,0.002694424,0.000744601,0.001907589,0.01035864],"category_scores_gemma":[0.001184177,0.0005472414,0.0005463694,0.001229606,0.0009683564,0.001952604,0.001416132,0.001592415,0.002789498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350992,"about_ca_system_score_gemma":0.001459778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523972,"about_ca_topic_score_gemma":0.004607295,"domain_scores_codex":[0.9985964,0.0001419592,0.00005883985,0.0001918363,0.0009010636,0.0001100216],"domain_scores_gemma":[0.9991432,0.0002760349,0.00009144951,0.00007337069,0.0003473806,0.00006845856],"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":[0.000502808,0.0001875627,0.002724952,0.004196498,0.00008278529,0.0004317718,0.0004108236,0.002195277,0.3242368,0.059178,0.05495125,0.5509014],"study_design_scores_gemma":[0.00002773174,0.0004422176,0.003874748,0.0005493814,0.00007702212,0.0008949317,0.0003584127,0.002836853,0.2181881,0.008838917,0.7638267,0.00008496822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06646096,0.4628147,0.07075903,0.01273897,0.008331497,0.0003882216,0.001491539,0.001025756,0.3759895],"genre_scores_gemma":[0.3283416,0.2840746,0.07508815,0.004871612,0.002089967,0.0005315084,0.002352807,0.0005670193,0.3020827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01035864,"threshold_uncertainty_score":0.03465307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557887361651925,"score_gpt":0.2602478061939712,"score_spread":0.2346689325774519,"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."}}