{"id":"W4400287586","doi":"10.1121/10.0027513","title":"Robotization of “<i>in situ</i>” acoustic measurements","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"In situ; Materials science; Geology; Physics; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004263346,0.0007453124,0.0004789935,0.0003923149,0.0004238266,0.0007812823,0.001111439,0.0004895446,0.004567061],"category_scores_gemma":[0.001019814,0.0003274032,0.0002867431,0.0002784445,0.0004317317,0.0007304612,0.000986487,0.0006700433,0.001398271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418733,"about_ca_system_score_gemma":0.0006462442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008031678,"about_ca_topic_score_gemma":0.001044967,"domain_scores_codex":[0.9992798,0.0001130585,0.00003248167,0.0001626613,0.0003295068,0.00008243636],"domain_scores_gemma":[0.9993238,0.0001229067,0.0001139373,0.0001634638,0.0002176587,0.0000582927],"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":[0.0003388067,0.0002016567,0.002201391,0.0003161345,0.00002673091,0.0002597596,0.0004398626,0.00459177,0.8480836,0.002571981,0.002700631,0.1382677],"study_design_scores_gemma":[0.00009587453,0.00212613,0.01331723,0.00007925472,0.00007317745,0.001096324,0.0004276627,0.06951589,0.85935,0.001370846,0.05242276,0.0001248928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1561599,0.0001444266,0.8214108,0.0002778881,0.0003101866,0.0005068198,0.0003411117,0.00558592,0.01526286],"genre_scores_gemma":[0.6751281,0.0001837691,0.313239,0.000212851,0.00008997598,0.0005069318,0.0004155998,0.0003024365,0.009921308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004567061,"threshold_uncertainty_score":0.01527834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819711848239303,"score_gpt":0.2396102093219041,"score_spread":0.2214130908395111,"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."}}