{"id":"W2766303016","doi":"10.1002/chem.201703947","title":"Cover Feature: Testing the Limits of the BOPHY Platform: Preparation, Characterization, and Theoretical Modeling of BOPHYs and Organometallic BOPHYs with Electron‐Withdrawing Groups at β‐Pyrrolic and Bridging Positions (Chem. Eur. J. 59/2017)","year":2017,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cyanation; Bridging (networking); Ferrocene; Chemistry; Cyanide; Fluorophore; Hydrazine (antidepressant); Combinatorial chemistry; Polymer chemistry; Nanotechnology; Materials science; Physical chemistry; Organic chemistry; Fluorescence; Computer science; Electrochemistry; Catalysis; Physics; Optics","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":[0.0001516064,0.0002091823,0.0001309604,0.00006106257,0.0001390656,0.0002464374,0.0003455706,0.0003299818,0.01354374],"category_scores_gemma":[0.0001860027,0.00008461934,0.0001114364,0.00005509395,0.0001182814,0.0003705883,0.0001983127,0.0003089489,0.001715933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00022311,"about_ca_system_score_gemma":0.00007922472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004536239,"about_ca_topic_score_gemma":0.0005751204,"domain_scores_codex":[0.9999553,0.000002112587,7.237887e-7,0.000009737799,0.00002511549,0.000007033553],"domain_scores_gemma":[0.9999564,0.00001995625,0.000007691914,0.000003872683,0.000006059418,0.000005977001],"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":[0.0005598835,0.0001280696,0.001204104,0.0004334148,0.0000221461,0.0002505256,0.00004269274,0.007819276,0.9392534,0.003469295,0.02112123,0.02569595],"study_design_scores_gemma":[0.00006323779,0.0007684351,0.002870686,0.00002158417,0.00001782692,0.0001819634,0.00004082771,0.0527433,0.9165488,0.001102757,0.02562082,0.00001969225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946485,0.001600595,0.01652427,0.001010887,0.0002253515,0.00009150046,0.004225223,0.0008756543,0.02896144],"genre_scores_gemma":[0.978614,0.0009689109,0.007658097,0.0001229882,0.00004402591,0.00007004237,0.002317493,0.0003803746,0.009824028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01354374,"threshold_uncertainty_score":0.04530829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796767861204274,"score_gpt":0.2269748570205931,"score_spread":0.2090071784085504,"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."}}