{"id":"W2297885137","doi":"10.1021/acs.macromol.5b02755","title":"Quantifying the Copolymerization Kinetics of Ethylene and 1-Octene Catalyzed with <i>rac</i>-Et(Ind)<sub>2</sub>ZrCl<sub>2</sub> in a Solution Reactor","year":2016,"lang":"en","type":"article","venue":"Macromolecules","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ethylene; Copolymer; Kinetics; 1-Octene; Catalysis; Monomer; Polymerization; Polymer chemistry; Chemistry; Reactivity (psychology); Reaction rate constant; Thermodynamics; Physical chemistry; Materials science; Polymer; Organic chemistry; Physics","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":[0.001081383,0.0002927171,0.0003640396,0.0001502612,0.0001388239,0.0001533036,0.0004190667,0.0001102764,0.0000196063],"category_scores_gemma":[0.0004812637,0.0001794811,0.00004066211,0.0004027976,0.0006063459,0.0003229622,0.0002506097,0.0001334203,0.00003016907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005853831,"about_ca_system_score_gemma":0.00007551994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002162674,"about_ca_topic_score_gemma":0.0004456211,"domain_scores_codex":[0.9973,0.0005283001,0.0005430869,0.0005947519,0.0005416617,0.0004921595],"domain_scores_gemma":[0.9984972,0.0002927692,0.0004836101,0.0005097144,0.0001239732,0.00009268698],"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":[0.0001212032,0.00008006727,0.001598286,0.00006596175,0.000005653046,0.00001311583,0.0004842785,0.00007904402,0.994627,0.0004376532,0.000009273031,0.002478444],"study_design_scores_gemma":[0.0007288198,0.0001578704,0.01647878,0.0002902133,0.00002373423,0.00004496874,0.00005609298,0.0003719126,0.9814186,0.0001381264,0.00002303678,0.0002679139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833523,0.0002052886,0.01462831,0.001015932,0.0002525157,0.0003617864,0.00005242213,0.00008175914,0.00004966183],"genre_scores_gemma":[0.9981055,0.0002029667,0.001415449,0.0001262563,0.00004556917,0.00004019086,0.0000179052,0.00004245727,0.000003733197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01488049,"threshold_uncertainty_score":0.7319026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333865236219679,"score_gpt":0.2445055824548767,"score_spread":0.2311669300926799,"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."}}