{"id":"W4232631486","doi":"10.1515/iupac.76.0523","title":"Photoacoustic Raman Gain Spectroscopy","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; Photoacoustic spectroscopy; Materials science; Raman spectroscopy; Photoacoustic imaging in biomedicine; Spectroscopy; 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":[0.001206921,0.002213961,0.001271401,0.005108579,0.0008226234,0.002278781,0.00197893,0.001675871,0.0244564],"category_scores_gemma":[0.006295964,0.0004972339,0.00127278,0.006899952,0.0004409218,0.001763866,0.001884314,0.001750384,0.05116671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359449,"about_ca_system_score_gemma":0.002058502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630268,"about_ca_topic_score_gemma":0.026579,"domain_scores_codex":[0.9981807,0.0002691351,0.0002076799,0.0005973744,0.0005567022,0.0001884667],"domain_scores_gemma":[0.9977418,0.000660601,0.0002770693,0.0005272911,0.0007061886,0.00008709729],"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":[0.0002195641,0.00007648087,0.004715595,0.003525639,0.0001312759,0.0000861988,0.00006159622,0.001487575,0.001292296,0.001997931,0.9579908,0.02841513],"study_design_scores_gemma":[0.00009950277,0.00002441326,0.008886978,0.0006239632,0.00005631887,0.0001298105,0.00009335385,0.0008937836,0.00179005,0.00317577,0.9841776,0.00004838074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006217124,0.0007314671,0.0005870733,0.00009085046,0.00005053109,0.00002613471,0.9948196,0.0008249462,0.002247701],"genre_scores_gemma":[0.001061733,0.0004675777,0.001240255,0.00006756194,0.0000127977,0.0001016101,0.9957926,0.00009043098,0.00116541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0244564,"threshold_uncertainty_score":0.08181483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00719215135916165,"score_gpt":0.3316944479681604,"score_spread":0.3245022966089988,"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."}}