{"id":"W4234996611","doi":"10.1515/iupac.76.0552","title":"Collinear Deflection Method","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; Terminology; 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":[0.001570928,0.003205764,0.001749211,0.005246772,0.001239307,0.003114617,0.003494183,0.002300361,0.05351108],"category_scores_gemma":[0.0096465,0.0005652016,0.002288465,0.007153188,0.0005672081,0.002323879,0.002657994,0.002239869,0.09416153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338697,"about_ca_system_score_gemma":0.00303257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01791655,"about_ca_topic_score_gemma":0.03166535,"domain_scores_codex":[0.9972783,0.0004695986,0.0003303777,0.0009870544,0.000652874,0.0002817609],"domain_scores_gemma":[0.9973273,0.0007376907,0.0001980407,0.0008927309,0.0007370754,0.0001069999],"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":[0.0002757064,0.00007981425,0.002722513,0.001981749,0.000142537,0.00007461583,0.00003818039,0.001846625,0.0003905427,0.002199935,0.9547353,0.03551254],"study_design_scores_gemma":[0.0002553494,0.00004663456,0.004027934,0.0006288358,0.0000789504,0.0001652767,0.0001125364,0.00345463,0.001108391,0.00594975,0.9841161,0.00005552582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006451925,0.001049386,0.001847071,0.0001580678,0.000150173,0.00008387492,0.9907267,0.002011416,0.003328093],"genre_scores_gemma":[0.00130025,0.000374562,0.002776507,0.00009697925,0.00002698485,0.0002050865,0.9935627,0.0001804476,0.001476502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05351108,"threshold_uncertainty_score":0.1790124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019700700800241,"score_gpt":0.3826436485868139,"score_spread":0.3724466415788115,"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."}}