{"id":"W4251069829","doi":"10.1515/iupac.76.0442","title":"Bragg Angle","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":[0.0007349345,0.001961202,0.001414618,0.004724491,0.0008857062,0.002703353,0.001437236,0.001102896,0.05721013],"category_scores_gemma":[0.006870314,0.000534556,0.001345129,0.007930378,0.0003647665,0.002203814,0.001603662,0.001608544,0.09242955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305678,"about_ca_system_score_gemma":0.002284451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222089,"about_ca_topic_score_gemma":0.04134597,"domain_scores_codex":[0.9981821,0.000188157,0.0002755966,0.0006859474,0.0004784602,0.0001897887],"domain_scores_gemma":[0.9978395,0.0004403034,0.0002902293,0.0005326153,0.0007733183,0.0001240979],"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":[0.000329175,0.0000523642,0.00643667,0.002141864,0.00008604865,0.00005181394,0.00005918557,0.0008373307,0.0006918284,0.002535966,0.9524956,0.0342821],"study_design_scores_gemma":[0.00008806757,0.00002277305,0.008357855,0.0004275276,0.00003387939,0.00009539445,0.00009533305,0.0005100181,0.0007615768,0.002350357,0.987224,0.00003331739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006543707,0.0005534237,0.0004610037,0.00008600966,0.00009715732,0.00002620986,0.9926029,0.0006912758,0.00482772],"genre_scores_gemma":[0.001288278,0.0004396549,0.00105714,0.000073747,0.0000213805,0.00007155593,0.9950603,0.0001153962,0.001872588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05721013,"threshold_uncertainty_score":0.1913869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007655921119967873,"score_gpt":0.3299420042997888,"score_spread":0.3222860831798209,"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."}}