{"id":"W1534088010","doi":"10.1002/9783527689897.ch14","title":"STM Characterization of Supramolecular Materials with Potential for Organic Electronics and Nanotechnology","year":2011,"lang":"en","type":"other","venue":"","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Characterization (materials science); Nanotechnology; Supramolecular chemistry; Electronics; Molecular electronics; Molecule; Materials science; Organic molecules; Chemistry; Organic chemistry; Physical chemistry","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":[0.0001068929,0.0001763973,0.0001845416,0.0003977858,0.0001498637,0.0002320337,0.0002886706,0.0002365103,0.007022974],"category_scores_gemma":[0.0002037181,0.00009218208,0.00009051054,0.0001973404,0.00008572595,0.0003058865,0.0001336524,0.0002360161,0.000783762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378981,"about_ca_system_score_gemma":0.0001214051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002068964,"about_ca_topic_score_gemma":0.0005407265,"domain_scores_codex":[0.9999171,0.000006310148,0.000004043022,0.00001256983,0.00004733573,0.00001256326],"domain_scores_gemma":[0.9999262,0.00001942451,0.000009227317,0.000008143506,0.00002820329,0.000008816304],"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":[0.0000275247,0.00001379801,0.0001975974,0.00005203135,0.000001991492,0.00003439817,0.00001165347,0.00008845987,0.9928187,0.0002342708,0.0002517093,0.006267769],"study_design_scores_gemma":[0.000003313324,0.00006653155,0.002628259,0.000005968974,0.000003898737,0.0001435979,0.00002381245,0.001912147,0.9909139,0.00006687392,0.004228221,0.000003587334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400542,0.003627172,0.02469745,0.0002238736,0.0001073993,0.0001297933,0.001577522,0.0005856944,0.02899684],"genre_scores_gemma":[0.9380513,0.001734717,0.03371636,0.0001342965,0.00003305779,0.00009972008,0.002177938,0.0001305374,0.02392205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007022974,"threshold_uncertainty_score":0.02349418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001849949103867563,"score_gpt":0.1523983141762401,"score_spread":0.1505483650723725,"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."}}