{"id":"W2969603599","doi":"10.3390/ma12172726","title":"Developing 9,10-anthracene Derivatives: Optical, Electrochemical, Thermal, and Electrical Characterization","year":2019,"lang":"en","type":"article","venue":"Materials","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Anthracene; Electrochemistry; Characterization (materials science); Materials science; Thermal; Nanotechnology; Photochemistry; Chemistry; Physical chemistry; Electrode; Physics","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":[0.0001056064,0.0001648918,0.0002354655,0.00004227625,0.00003713111,0.0001057318,0.0000932637,0.0001123173,0.0007910762],"category_scores_gemma":[0.00002130034,0.0001578065,0.00001539777,0.0001359489,0.0000184339,0.000110674,0.00003187231,0.00008573124,0.0001482807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008243561,"about_ca_system_score_gemma":0.00003278572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001224072,"about_ca_topic_score_gemma":2.351157e-7,"domain_scores_codex":[0.9991373,0.00001896709,0.0002236701,0.000182686,0.00009620422,0.0003411564],"domain_scores_gemma":[0.9997132,0.00003758858,0.00003278739,0.0001378482,0.00002778001,0.00005079387],"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":[0.00001328582,0.000007177339,0.00008078726,0.00005088676,0.00002352221,6.19199e-7,0.00004018124,0.000001798194,0.9978029,0.001710299,0.00003082525,0.0002377873],"study_design_scores_gemma":[0.0001807721,0.00005419349,0.001423005,0.000019876,0.000007962583,0.000006664715,0.000003536172,0.0002857678,0.9938278,0.0001556025,0.003820085,0.0002147495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978364,0.0001305251,0.001066676,0.00006127673,0.0001351047,0.0001982564,0.000006029282,0.0001644365,0.0004013284],"genre_scores_gemma":[0.9986904,0.0003763702,0.0005192721,0.00007811868,0.00009186419,0.00001147164,0.00006870503,0.00004862801,0.0001152144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003975045,"threshold_uncertainty_score":0.866173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007149894849269326,"score_gpt":0.2055347958515335,"score_spread":0.1983849010022642,"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."}}