{"id":"W4235754993","doi":"10.1515/iupac.76.0497","title":"Acoustic Resonator","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Photothermal therapy; Optics; Photothermal spectroscopy; Materials science; Optoelectronics; Physics","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":[0.0009856866,0.002108603,0.001291404,0.003629002,0.0007266537,0.002050438,0.001733204,0.0012185,0.05979075],"category_scores_gemma":[0.007148983,0.0004875435,0.001294826,0.005325265,0.0003040223,0.001516735,0.001705005,0.001368069,0.1050552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009669243,"about_ca_system_score_gemma":0.00201113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01534307,"about_ca_topic_score_gemma":0.02208943,"domain_scores_codex":[0.9981614,0.000278457,0.0002402811,0.000628289,0.0005374079,0.0001543398],"domain_scores_gemma":[0.9978061,0.0006656028,0.0002379909,0.0005228154,0.0006630556,0.0001043779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002763743,0.00006024827,0.003707663,0.002749937,0.00009983299,0.00005964024,0.00004515379,0.001224524,0.0007558661,0.001410308,0.9474996,0.04211091],"study_design_scores_gemma":[0.0001102394,0.0000352191,0.007278464,0.000443519,0.0000470251,0.0001170911,0.00007900121,0.0008885831,0.0008143777,0.00196656,0.9881852,0.0000347634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005146389,0.0004377087,0.0005546539,0.00007523179,0.00007678748,0.00003055205,0.9948695,0.000712617,0.002728332],"genre_scores_gemma":[0.001039014,0.0003595081,0.00102187,0.00006655187,0.00002076967,0.0001171627,0.9955487,0.00008524282,0.001741133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05979075,"threshold_uncertainty_score":0.20002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007714700045098653,"score_gpt":0.3314472062843727,"score_spread":0.3237325062392741,"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."}}