{"id":"W2586711605","doi":"10.1021/acs.langmuir.6b04151","title":"Kinetics, Chemistry, and Morphology of Syngas Photoinitiated Chemical Vapor Deposition","year":2017,"lang":"en","type":"article","venue":"Langmuir","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Hydro-Québec; Canada Foundation for Innovation","keywords":"Syngas; Chemistry; Chemical vapor deposition; X-ray photoelectron spectroscopy; Chemical engineering; Kinetics; Thin film; Substrate (aquarium); Chemical kinetics; Chemical structure; Photochemistry; Organic chemistry; Materials science; Nanotechnology; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001589332,0.00009545954,0.0001856824,0.00001039602,0.0001123259,0.00009524736,0.000448659,0.00007799505,0.0003314866],"category_scores_gemma":[0.0002701627,0.00008741757,0.000018501,0.00002590619,0.0005816175,0.0001313633,0.0002621392,0.00004210763,0.00003307939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001557232,"about_ca_system_score_gemma":0.00001488444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000851705,"about_ca_topic_score_gemma":0.000002330163,"domain_scores_codex":[0.9992008,0.00001118921,0.0001932308,0.0002574198,0.000147723,0.0001896483],"domain_scores_gemma":[0.9992414,0.00002864125,0.0002231351,0.0003875661,0.00006646589,0.000052755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000216843,0.00003029928,0.0001076257,0.00009246414,0.000001699098,0.00001631899,0.0000659495,4.712727e-7,0.9993772,0.00005650266,0.00009519042,0.0001345893],"study_design_scores_gemma":[0.0002439141,0.00002038941,0.002131989,0.00002604875,0.00001208592,0.0001329952,0.00001691807,0.00006608045,0.9968462,0.0003552399,0.00005039356,0.00009777318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965353,0.00005461506,0.000233901,0.0001618438,0.0001778416,0.00006492734,0.0000497355,0.00003913922,0.00268271],"genre_scores_gemma":[0.9979591,0.000007242123,0.001832648,0.00004294742,0.00007070783,0.000008419132,0.00001377578,0.000008596884,0.00005660691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002626103,"threshold_uncertainty_score":0.3629546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385044559396098,"score_gpt":0.2630302805150579,"score_spread":0.2491798349210969,"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."}}