{"id":"W4312661591","doi":"10.2139/ssrn.4235919","title":"Comparison of Photocatalysis and Photolysis of 2,2,4,4-Tetrabromodiphenyl Ether (Bde-47): Operational Parameters, Kinetic Studies, and Data Validation Using Three Modern Machine Learning Models","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Photocatalysis; Photodissociation; Ether; Kinetic energy; Chemistry; Photochemistry; Organic chemistry; Physics; Catalysis","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":[],"consensus_categories":[],"category_scores_codex":[0.002016048,0.0001471135,0.0003933132,0.0001060653,0.0004099612,0.00003157254,0.0003150539,0.00003040011,0.00006178709],"category_scores_gemma":[0.00004196861,0.0001341136,0.00006166984,0.0002810312,0.0001464295,0.0003036471,0.0004992145,0.0007060593,5.049038e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442376,"about_ca_system_score_gemma":0.0000760755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002731554,"about_ca_topic_score_gemma":0.0002081312,"domain_scores_codex":[0.9978424,0.0002889216,0.0004816892,0.0003360922,0.0005635026,0.0004873627],"domain_scores_gemma":[0.999228,0.00008374896,0.0003516099,0.0002629946,0.0000241828,0.00004947427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007807454,0.0001749965,0.1021372,0.00002906373,0.0009383589,0.000001009746,0.00259428,0.8226063,0.06077405,0.0001535937,0.000004472228,0.01050866],"study_design_scores_gemma":[0.0004913474,0.0002390153,0.0003980834,0.00001870065,0.0005285876,0.00005504457,0.002845,0.9662743,0.006142068,0.02279427,0.00001547131,0.0001981014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713402,0.004446058,0.02400948,0.00005685763,0.00002169411,0.00009039563,0.00001977942,0.000006593638,0.000008958851],"genre_scores_gemma":[0.9972362,0.0004888574,0.002111251,0.000003914747,0.00002065497,0.000004460454,0.00004762449,0.00001468849,0.00007237178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.143668,"threshold_uncertainty_score":0.5468992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180223877996833,"score_gpt":0.340117279282507,"score_spread":0.2220948914828237,"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."}}