{"id":"W4412314282","doi":"","title":"Harnessing Catechol Chemistry for Material Design","year":2016,"lang":"en","type":"article","venue":"","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"iNano Medical (Canada)","funders":"","keywords":"Catechol; Chemistry; Biochemical engineering; Nanotechnology; Organic chemistry; Engineering; Materials science","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":[0.0001949196,0.0003478444,0.000231328,0.0002593268,0.0002819795,0.0008568542,0.0003725463,0.000364818,0.00223041],"category_scores_gemma":[0.000346778,0.0001759528,0.0002286217,0.0002324804,0.0003669252,0.0009530894,0.0007093243,0.0008387011,0.001084729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237058,"about_ca_system_score_gemma":0.0003647215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002508161,"about_ca_topic_score_gemma":0.0009823117,"domain_scores_codex":[0.9999086,0.00001345256,0.00000612729,0.00001894606,0.00003319181,0.00001984239],"domain_scores_gemma":[0.9999108,0.00002253702,0.00001372644,0.0000178933,0.00001884808,0.00001613212],"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":[0.0001641601,0.0002474013,0.001303002,0.001091114,0.00005759908,0.0003823692,0.0001737415,0.007631941,0.7566681,0.1220632,0.004402095,0.1058153],"study_design_scores_gemma":[0.00005953711,0.000653996,0.0007247849,0.0001042096,0.00004410448,0.0003247401,0.0001050305,0.02065983,0.7659582,0.03712706,0.1741759,0.0000624985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5447416,0.02707341,0.2865969,0.00403323,0.001875911,0.0002836377,0.0008697024,0.001052271,0.1334732],"genre_scores_gemma":[0.9487749,0.008307389,0.03106652,0.0003886826,0.0001098577,0.0001114591,0.0003051944,0.0001254453,0.01081064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00223041,"threshold_uncertainty_score":0.007461429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00936314347762392,"score_gpt":0.1919070116128296,"score_spread":0.1825438681352057,"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."}}