{"id":"W2073965253","doi":"10.5539/apr.v3n2p224","title":"Practical Investigations of the Method for Indirect Control of Acoustic Load Parameters","year":2011,"lang":"en","type":"article","venue":"Applied Physics Research","topic":"Material Properties and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acoustics; Computer science; Control (management); Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197358,0.000753346,0.0004931486,0.0007287536,0.0004370873,0.000688931,0.001025937,0.0008879923,0.005089203],"category_scores_gemma":[0.002104138,0.0003675634,0.000246146,0.000328897,0.0008110551,0.0006685978,0.0008383596,0.00112567,0.001387455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521666,"about_ca_system_score_gemma":0.0005015742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003851417,"about_ca_topic_score_gemma":0.0005691705,"domain_scores_codex":[0.9984916,0.0003039855,0.00004210287,0.0002755188,0.0008272833,0.00005945384],"domain_scores_gemma":[0.9981585,0.0008903078,0.0001462221,0.000334884,0.0004025441,0.00006752428],"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":[0.0003483671,0.0001242705,0.001174887,0.0005136424,0.00003871303,0.0001263069,0.000336306,0.00100961,0.856904,0.005536686,0.001230159,0.1326572],"study_design_scores_gemma":[0.0001845954,0.002109982,0.004383448,0.0001524438,0.0001373447,0.002851022,0.0002172366,0.05591923,0.8824676,0.003449513,0.04792628,0.0002011957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03844768,0.001437225,0.9503391,0.0003734835,0.0003238341,0.0004244589,0.0001108176,0.001155065,0.007388377],"genre_scores_gemma":[0.3451017,0.000835793,0.6448209,0.0001651195,0.0001698595,0.0006584,0.00009276268,0.0001645648,0.007990955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005089203,"threshold_uncertainty_score":0.01702505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2359576650134095,"score_gpt":0.4077164505580956,"score_spread":0.1717587855446861,"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."}}