{"id":"W2916621507","doi":"10.1021/acs.chemmater.8b05065","title":"Rational Design of Metalorganic Complexes for the Deposition of Solid Films: Growth of Metallic Copper with Amidinate Precursors","year":2019,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Basic Energy Sciences","keywords":"Dehydrogenation; Copper; Chemistry; X-ray photoelectron spectroscopy; Atomic layer deposition; Reactivity (psychology); Lability; Metal; Thermal desorption spectroscopy; Hydrogen; Thin film; Desorption; Nickel; Ligand (biochemistry); Inorganic chemistry; Adsorption; Physical chemistry; Catalysis; Chemical engineering; Organic chemistry; Materials science; Nanotechnology; Layer (electronics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001824096,0.0004843811,0.0003347069,0.0002798577,0.0001424149,0.0004226457,0.0006674814,0.0003085107,0.0004469393],"category_scores_gemma":[0.0003127866,0.0003067977,0.0001764612,0.0002693718,0.0001599234,0.0002233197,0.0002534201,0.0002900005,0.0003064303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006063528,"about_ca_system_score_gemma":0.0002436107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007530758,"about_ca_topic_score_gemma":0.001456137,"domain_scores_codex":[0.9998052,0.00003230395,0.0000213598,0.00004445116,0.00005007563,0.00004666387],"domain_scores_gemma":[0.9998573,0.00002520094,0.00003936689,0.0000146758,0.00003395807,0.00002947308],"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":[0.00006285667,0.00001932172,0.0001260044,0.0001290248,0.000008212809,0.00008446471,0.00002957744,0.0004528065,0.9968641,0.0002169847,0.00005127825,0.001955424],"study_design_scores_gemma":[0.00001803883,0.0001431631,0.0002835977,0.000005848281,0.000008923076,0.00005510552,0.00001889866,0.00183487,0.9958578,0.00001832525,0.001750175,0.000005300019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883465,0.001253194,0.007116162,0.00006778206,0.0000188802,0.000135159,0.0001634217,0.0001745754,0.002724265],"genre_scores_gemma":[0.9803572,0.001047612,0.01696772,0.00002879033,0.00000771112,0.00009547727,0.0002271833,0.00005525663,0.001213057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007530758,"threshold_uncertainty_score":0.004399478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675295105014692,"score_gpt":0.2188132103313172,"score_spread":0.2020602592811703,"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."}}