{"id":"W1964354534","doi":"10.1351/pac-con-11-09-22","title":"Tetrathiafulvalene vinylogues as versatile building blocks for new organic materials","year":2012,"lang":"en","type":"article","venue":"Pure and Applied Chemistry","topic":"Organic and Molecular Conductors Research","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Tetrathiafulvalene; Molecular tweezers; Chemistry; Molecular electronics; Nanotechnology; Tweezers; Characterization (materials science); Combinatorial chemistry; Electronic materials; Polymer; Organic electronics; Molecule; Organic chemistry; Materials science; Supramolecular chemistry; Transistor; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001863725,0.0003227256,0.0002036715,0.0003776705,0.0001648086,0.0004407634,0.0003954821,0.0003727834,0.001813872],"category_scores_gemma":[0.0001521633,0.000202145,0.0001829216,0.0002791665,0.0002314076,0.0006125861,0.0002833174,0.0003928879,0.0007476378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004053173,"about_ca_system_score_gemma":0.0001591315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002364343,"about_ca_topic_score_gemma":0.000479908,"domain_scores_codex":[0.999902,0.00001625314,0.000009363028,0.00002129015,0.00002408647,0.00002691772],"domain_scores_gemma":[0.9999382,0.00001414801,0.00001613152,0.00001013124,0.000005927271,0.00001536831],"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":[0.00006591954,0.00004149195,0.0001687276,0.0002035748,0.00001200378,0.000213943,0.00005301206,0.00116404,0.9724234,0.009044622,0.000336299,0.01627281],"study_design_scores_gemma":[0.00002246727,0.0003279834,0.0005677864,0.00002088535,0.00001679777,0.0003167558,0.00001934322,0.001536418,0.9575141,0.000980095,0.0386567,0.00002062716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069899,0.03271142,0.03681869,0.0004623316,0.0002570584,0.0002046515,0.0008985249,0.0007540605,0.02090334],"genre_scores_gemma":[0.9575812,0.01202458,0.02306651,0.0001386536,0.00004913426,0.0001471729,0.0005580157,0.00009179233,0.006342878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001813872,"threshold_uncertainty_score":0.006067991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488547084361534,"score_gpt":0.2571176912672257,"score_spread":0.2422322204236104,"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."}}