{"id":"W4241998634","doi":"10.1515/iupac.76.0599","title":"Inverse Problem","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; 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":[0.001473387,0.002384364,0.001658855,0.002614141,0.000806145,0.003613418,0.00236841,0.00236265,0.06803452],"category_scores_gemma":[0.01174478,0.0005089799,0.002301305,0.004009322,0.0005986557,0.002733811,0.00227436,0.002244586,0.07108486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125546,"about_ca_system_score_gemma":0.002632536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153768,"about_ca_topic_score_gemma":0.01501575,"domain_scores_codex":[0.9978359,0.0004726787,0.0002104167,0.0008994321,0.0004359452,0.0001456027],"domain_scores_gemma":[0.9977367,0.001022075,0.0001471412,0.0005935257,0.0004296541,0.00007097272],"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":[0.0002261593,0.0001076115,0.003173557,0.002523711,0.0001800116,0.0001362398,0.00006077308,0.009690921,0.0003398279,0.01133535,0.8433743,0.1288515],"study_design_scores_gemma":[0.0001771683,0.00006239113,0.002771212,0.0008475758,0.00008314053,0.0003706148,0.0002289301,0.02000606,0.0008081048,0.05067379,0.9239121,0.00005882708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003327767,0.006775545,0.03681016,0.002330436,0.0007804069,0.0002100429,0.9181513,0.005225778,0.02638853],"genre_scores_gemma":[0.009671035,0.002747267,0.0258846,0.0005553695,0.0001825379,0.0004463475,0.95271,0.0004743562,0.007328512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06803452,"threshold_uncertainty_score":0.2275982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008213065134905289,"score_gpt":0.3219276071296278,"score_spread":0.3137145419947225,"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."}}