{"id":"W4239525851","doi":"10.1515/iupac.76.0575","title":"Delayed Fluorescence","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; Photothermal spectroscopy; Optics; Materials science; Nanotechnology; 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":[0.001090671,0.001711571,0.001130909,0.003912753,0.0009335739,0.002285845,0.001720336,0.00147651,0.0385129],"category_scores_gemma":[0.006117395,0.0004331458,0.001356117,0.005957208,0.0003309497,0.001705629,0.00159422,0.001423623,0.05681382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001840978,"about_ca_system_score_gemma":0.002367822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036277,"about_ca_topic_score_gemma":0.03426176,"domain_scores_codex":[0.9984958,0.0001989958,0.0001502214,0.0006392295,0.0003399714,0.0001757747],"domain_scores_gemma":[0.9981613,0.0005724865,0.0002182574,0.0004672185,0.00049159,0.0000892661],"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":[0.0003298954,0.00005897818,0.004366433,0.003073866,0.0001062086,0.00005829996,0.00005481116,0.001219158,0.000881499,0.00223685,0.954013,0.03360086],"study_design_scores_gemma":[0.0001092607,0.00002768291,0.007231301,0.0004932539,0.00005412957,0.0001061989,0.00007683216,0.0007572511,0.001253341,0.002733022,0.9871225,0.00003517633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007206491,0.0007160335,0.0005126883,0.0001100525,0.00006369673,0.00002414765,0.9943072,0.0007655261,0.002779932],"genre_scores_gemma":[0.001334851,0.0004054886,0.001011922,0.0000860869,0.00001317057,0.00009734293,0.9952525,0.00008637917,0.001712319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0385129,"threshold_uncertainty_score":0.1288385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007443527310107096,"score_gpt":0.3258387360276284,"score_spread":0.3183952087175212,"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."}}