{"id":"W2047099572","doi":"10.1021/ma800320j","title":"Do Catechol Derivatives Electropolymerize?","year":2008,"lang":"en","type":"article","venue":"Macromolecules","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Triphenylene; Catechol; Electrochemistry; Chemistry; Phenylene; Polymer chemistry; Macromolecule; Organic chemistry; Combinatorial chemistry; Polymer; Molecule; Physical chemistry","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":[0.00005528494,0.0001156973,0.0001187117,0.0000402042,0.0003419069,0.00004351031,0.0002306299,0.00003518624,0.0006825512],"category_scores_gemma":[0.00003017007,0.0001047418,0.00003858402,0.0002011325,0.0002118665,0.00006875822,0.00005823461,0.00006892813,0.0003785954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000161654,"about_ca_system_score_gemma":0.00004847931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001054115,"about_ca_topic_score_gemma":0.000003625711,"domain_scores_codex":[0.9991437,0.00003174643,0.0001454185,0.0002725075,0.0001377905,0.000268819],"domain_scores_gemma":[0.999528,0.00002688734,0.00006065294,0.0002849027,0.0000338514,0.00006573958],"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":[0.000003709105,0.00003160299,0.0001633656,0.000002298638,0.00000297918,0.00001289996,0.000290954,6.574543e-7,0.9963086,0.001519474,0.0006868055,0.0009766485],"study_design_scores_gemma":[0.0001102521,0.0000253121,0.000472221,0.000004148976,0.000004231063,0.00009209359,0.0001050829,0.000002937178,0.9944161,0.0004422785,0.004186059,0.0001392435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923707,0.0005592133,0.002332212,0.0004444215,0.00008268273,0.00009525624,0.00001163507,0.0001594311,0.003944487],"genre_scores_gemma":[0.9964201,0.00003773839,0.002515967,0.0001806982,0.00006391415,0.00004629357,0.000006110709,0.00001747394,0.0007117045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004049439,"threshold_uncertainty_score":0.7473456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414825344158045,"score_gpt":0.2661080637054239,"score_spread":0.2419598102638435,"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."}}