{"id":"W4242851041","doi":"10.1515/iupac.83.0156","title":"Photocarrier","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","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; Philosophy; History; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004251597,0.0004454288,0.0004949039,0.0001296804,0.0000327864,0.0000210229,0.000523651,0.0006178464,0.001557378],"category_scores_gemma":[0.0003372938,0.000346718,0.0001170984,0.000154006,0.0001564997,0.00006261165,0.0001191598,0.0006358778,0.000006022357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299417,"about_ca_system_score_gemma":0.00002485073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004631059,"about_ca_topic_score_gemma":0.00003996486,"domain_scores_codex":[0.9983547,0.000007255028,0.0003208133,0.0003253967,0.0005240453,0.0004677355],"domain_scores_gemma":[0.9987729,0.00006388097,0.00005981456,0.0008851376,0.0001137377,0.0001045865],"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":[0.0000124339,0.00001427068,2.969952e-7,0.0001141711,0.00005954521,0.00003923846,0.000001024374,0.00004817943,0.001728703,0.000002399895,0.99369,0.004289746],"study_design_scores_gemma":[0.0002915506,0.000031466,3.436183e-7,0.0001833951,0.00003295783,0.000008186583,0.000006607113,0.00001590802,0.01537733,0.0005613093,0.9830306,0.0004604011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001580715,0.0009448075,0.0003690774,0.00007195677,0.0005329339,0.0001976497,0.9963447,0.001273344,0.0001074714],"genre_scores_gemma":[0.00004849567,0.00197917,0.0001375974,0.00004918025,0.0003773946,0.00002559031,0.9971729,0.00007880352,0.000130893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01364863,"threshold_uncertainty_score":0.9998985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008544345130770407,"score_gpt":0.3473712418165943,"score_spread":0.3388268966858239,"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."}}