{"id":"W4237063940","doi":"10.1515/iupac.76.0487","title":"Population 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; Population; 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":[0.0009230961,0.002058121,0.001354869,0.004412302,0.0009412084,0.003285975,0.002525673,0.001547913,0.09832116],"category_scores_gemma":[0.008630463,0.0004302324,0.001552069,0.00743077,0.0003691037,0.002630253,0.002496945,0.001513592,0.1306043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657872,"about_ca_system_score_gemma":0.002700696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02886654,"about_ca_topic_score_gemma":0.04524358,"domain_scores_codex":[0.9983501,0.0002523323,0.0001837918,0.0006510745,0.0003498702,0.0002127566],"domain_scores_gemma":[0.9977842,0.0005343573,0.000258944,0.0005948125,0.0006729268,0.0001548791],"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":[0.0001500333,0.00002259031,0.002988555,0.001009119,0.00007103834,0.00004242233,0.00004002333,0.0004432915,0.0001170321,0.002172225,0.976281,0.01666261],"study_design_scores_gemma":[0.00007127474,0.0000129032,0.00352933,0.0003374089,0.0000285667,0.00007712239,0.0001015641,0.0003355927,0.0002170746,0.002503341,0.9927666,0.00001914769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002759053,0.000301301,0.0002654507,0.0001096199,0.00004485359,0.00001803645,0.9955041,0.0005717282,0.002909004],"genre_scores_gemma":[0.0009656202,0.000270244,0.0006862514,0.0001050909,0.00002012686,0.00008415484,0.9957097,0.0001089888,0.002049973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09832116,"threshold_uncertainty_score":0.3289171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009592199837917113,"score_gpt":0.3361408028169949,"score_spread":0.3265486029790778,"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."}}