{"id":"W4238269641","doi":"10.1515/iupac.76.0486","title":"Optical Kerr Lens","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; Lens (geology); 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":[0.000797186,0.002215363,0.001323473,0.004175352,0.0008573601,0.002278489,0.002191666,0.001616141,0.03782171],"category_scores_gemma":[0.005998072,0.0004540741,0.001302599,0.006619289,0.0003896657,0.002004554,0.002007096,0.001284715,0.07400547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483764,"about_ca_system_score_gemma":0.001972442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052447,"about_ca_topic_score_gemma":0.03520298,"domain_scores_codex":[0.9985909,0.0001854026,0.0001640139,0.0004551715,0.0004189998,0.0001854194],"domain_scores_gemma":[0.9981675,0.000395972,0.0002549255,0.000461809,0.0006115476,0.00010826],"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":[0.0002475778,0.00005656522,0.00329983,0.00199288,0.00007086065,0.00006626282,0.00003580807,0.0008866654,0.0003756467,0.001405041,0.968519,0.02304386],"study_design_scores_gemma":[0.0001167284,0.00003030264,0.008079538,0.0005899151,0.00004178934,0.0001366458,0.0000946986,0.0007203778,0.0007956423,0.002243187,0.9871113,0.00003976508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005535252,0.0005952438,0.000338619,0.00008930608,0.00004454286,0.00002641174,0.9950955,0.0006600037,0.002596883],"genre_scores_gemma":[0.001102261,0.0003620632,0.000783051,0.00006660714,0.00001458039,0.00008178533,0.9960982,0.00007265,0.001418821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03782171,"threshold_uncertainty_score":0.1265262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008114445528182,"score_gpt":0.3358262356214425,"score_spread":0.3257450911661607,"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."}}