{"id":"W4251193796","doi":"10.1515/iupac.83.0060","title":"Dynamic Photoadsorption Process","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006129941,0.000355476,0.0003534649,0.00006274546,0.0001658517,0.00004365203,0.0004458474,0.0003051072,0.005787356],"category_scores_gemma":[0.0003039419,0.0002746389,0.0001066,0.000183289,0.0002250765,0.0001518321,0.0002086053,0.0004028302,0.00003341209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009693413,"about_ca_system_score_gemma":0.00008952638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000217687,"about_ca_topic_score_gemma":0.0003016063,"domain_scores_codex":[0.997323,0.0000681056,0.0003901005,0.0005725984,0.001199657,0.0004465256],"domain_scores_gemma":[0.9989102,0.00005388105,0.0002876409,0.0005492498,0.00004576182,0.0001532466],"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":[0.00004925134,0.000105488,0.00007000636,0.00008203078,0.00001695206,0.00001423868,0.00003062454,0.00003106454,0.00007889949,1.628588e-7,0.9898902,0.009631131],"study_design_scores_gemma":[0.0003290342,0.0001156295,0.0001537543,0.0002709383,0.00004293479,0.00001185331,0.00003278871,0.0001280405,0.00005153348,0.0001847433,0.998278,0.0004007824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005199715,0.00005228321,0.0002274736,0.0001773862,0.0006675888,0.0002127649,0.9932866,0.00009215087,0.00008408207],"genre_scores_gemma":[0.0006460486,0.0001374202,0.00008495463,0.00007448384,0.0003244414,0.00002049019,0.9979277,0.00003461049,0.0007498602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009230348,"threshold_uncertainty_score":0.9999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412937080490469,"score_gpt":0.3922295239040094,"score_spread":0.3781001530991047,"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."}}