{"id":"W4236656836","doi":"10.1515/iupac.83.0168","title":"Photoconductivity","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; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Photoconductivity; Chemistry; Nanotechnology; Materials science; Catalysis; Optoelectronics; Organic chemistry; Philosophy; Linguistics","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":[0.00005569584,0.0004483809,0.0005401435,0.0001298265,0.00003513805,0.00002040241,0.0004893998,0.0005926443,0.001083073],"category_scores_gemma":[0.0004207977,0.0003513855,0.000116732,0.0001559536,0.0001787548,0.0001004164,0.0001295958,0.0007160902,0.000004272398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006049721,"about_ca_system_score_gemma":0.00002564941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008079029,"about_ca_topic_score_gemma":0.00006517245,"domain_scores_codex":[0.9983995,0.00001048709,0.0002929742,0.0003530962,0.0004904493,0.0004535154],"domain_scores_gemma":[0.9987471,0.00007894602,0.00006875996,0.0009012289,0.00011349,0.00009052161],"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":[0.00001172113,0.0000276112,3.511451e-7,0.0001334684,0.0000562807,0.00003061922,7.968145e-7,0.00003680398,0.005321278,0.000002412419,0.9892138,0.005164813],"study_design_scores_gemma":[0.0003048457,0.00003047804,7.171428e-7,0.00015443,0.00002836984,0.000009366841,0.000005129734,0.00001052117,0.02553076,0.0007654955,0.9727049,0.0004549355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005100908,0.0004966385,0.0003675521,0.00008206875,0.0005089149,0.0003239542,0.9962872,0.001357566,0.00006605604],"genre_scores_gemma":[0.0001123995,0.000984843,0.0001319587,0.00002798373,0.0003725553,0.00005116516,0.9981778,0.00006811251,0.00007321618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02020949,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277949011072243,"score_gpt":0.3637751165220605,"score_spread":0.350995626411338,"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."}}