{"id":"W4249876230","doi":"10.1515/iupac.76.0604","title":"Nonradiative Rate Constant","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; Photothermal effect; Materials science; 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":[0.001396701,0.002275923,0.00167329,0.004458113,0.0007487169,0.003040249,0.002359247,0.001392239,0.0336672],"category_scores_gemma":[0.01166446,0.000593144,0.001982052,0.007277249,0.000351277,0.002574615,0.001246739,0.002078412,0.05771786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703075,"about_ca_system_score_gemma":0.002489876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037258,"about_ca_topic_score_gemma":0.02231173,"domain_scores_codex":[0.9976186,0.0002713218,0.0003117312,0.001061282,0.0005469823,0.0001900887],"domain_scores_gemma":[0.9960046,0.001333964,0.0005155943,0.001068562,0.0009576486,0.0001195506],"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":[0.0004977112,0.0001118148,0.01052953,0.003885717,0.0003116076,0.00006993469,0.00005514401,0.00420361,0.0008245698,0.004155623,0.942382,0.03297264],"study_design_scores_gemma":[0.0002679441,0.00004384491,0.01207562,0.0006113233,0.0001547956,0.0001596009,0.00006394801,0.002714431,0.001406475,0.005903555,0.976526,0.00007254522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006409159,0.0007048445,0.0004542675,0.00007473677,0.00006523159,0.0000200023,0.9956881,0.000620126,0.001731687],"genre_scores_gemma":[0.002145831,0.0005100113,0.0009223446,0.00007986689,0.00002644458,0.00009649997,0.9946728,0.0001473325,0.001398838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0336672,"threshold_uncertainty_score":0.112628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00824847541815542,"score_gpt":0.3313658080230197,"score_spread":0.3231173326048643,"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."}}