{"id":"W2891994738","doi":"10.1021/acsanm.8b01266","title":"Stepwise Sulfurization from MoO<sub>3</sub> to MoS<sub>2</sub> via Chemical Vapor Deposition","year":2018,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"2D Materials and Applications","field":"Materials Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Emerging Frontiers in Research and Innovation; Canadian Institute for Advanced Research","keywords":"Molybdenum disulfide; Chemical vapor deposition; Sulfur; Molybdenum; Monolayer; Catalysis; Materials science; Molybdenum trioxide; Transition metal; Inorganic chemistry; Chemical engineering; Stoichiometry; Chemistry; Nanotechnology; Organic chemistry; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006026911,0.0005618701,0.0007329385,0.0001473308,0.0004184755,0.000604822,0.0006616634,0.0004045601,0.0005325955],"category_scores_gemma":[0.00005736593,0.0005535609,0.00006585913,0.000435856,0.0002156123,0.0003211972,0.0004275474,0.00007901488,0.005540858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538482,"about_ca_system_score_gemma":0.00008409712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009688735,"about_ca_topic_score_gemma":0.0000238285,"domain_scores_codex":[0.9961863,0.0001249946,0.001110506,0.001187865,0.0005663672,0.0008239346],"domain_scores_gemma":[0.9978315,0.00009050698,0.0004918007,0.001006552,0.0002428961,0.0003368013],"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":[0.0003227305,0.0001672509,0.000002497537,0.00004144951,0.00001855038,0.000003753083,0.00021064,0.000008273421,0.9946552,0.001350895,0.00154548,0.001673281],"study_design_scores_gemma":[0.0007076343,0.00008761555,0.0002072434,0.0000566296,0.00008905084,0.000009221372,0.00002541878,0.000006097802,0.9929996,0.004848519,0.0003021964,0.0006608209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891973,0.00001468752,0.006097049,0.0002524257,0.001326676,0.001531797,0.000856191,0.0004809194,0.0002430102],"genre_scores_gemma":[0.9923627,0.00002654531,0.002967874,0.0007693522,0.001934497,0.0009793681,0.000818777,0.0001320675,0.000008836408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005008263,"threshold_uncertainty_score":0.9996916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008110202762452267,"score_gpt":0.2168538392870841,"score_spread":0.2087436365246318,"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."}}