{"id":"W4247347208","doi":"10.1515/iupac.83.0306","title":"Thermal Bleaching","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Photocatalysis; Chemical nomenclature; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; History; Philosophy; Archaeology","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":[0.001026392,0.001937318,0.001189096,0.003820184,0.000840482,0.002157209,0.002132643,0.001289224,0.07355952],"category_scores_gemma":[0.004071321,0.0005546543,0.00194924,0.005730603,0.0003431137,0.001720952,0.001687451,0.001778474,0.1418491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253813,"about_ca_system_score_gemma":0.001808693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340372,"about_ca_topic_score_gemma":0.02864877,"domain_scores_codex":[0.9987263,0.0001754096,0.0002112727,0.000411044,0.0003146363,0.0001612647],"domain_scores_gemma":[0.9982838,0.0003532652,0.0002236611,0.0004870164,0.0005561239,0.00009618692],"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":[0.0001685221,0.0000504019,0.002070033,0.00191723,0.00005374236,0.00003023925,0.00004642112,0.0004656568,0.0005493462,0.0008716606,0.9810122,0.01276455],"study_design_scores_gemma":[0.0001269646,0.00002476635,0.007115365,0.0004764886,0.00004001242,0.00007519584,0.000105366,0.0003196065,0.0007555955,0.001130053,0.9897959,0.00003478316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002926335,0.000125311,0.0001584007,0.00003484904,0.0000331598,0.00002567486,0.9971284,0.0003966194,0.001804895],"genre_scores_gemma":[0.0003778115,0.0001016111,0.0004530565,0.000041937,0.000007185407,0.0001165352,0.9972827,0.00007787975,0.001541238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07355952,"threshold_uncertainty_score":0.2460811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662052388509468,"score_gpt":0.3559457702872694,"score_spread":0.3293252464021747,"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."}}