{"id":"W2042440937","doi":"10.1088/1742-6596/19/1/027","title":"Force microscopy on insulators: imaging of organic molecules","year":2005,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center of Competence in Research Chemical Biology; National Science Foundation","keywords":"Cantilever; Materials science; Nanotechnology; Excitation; Molecule; Scanning tunneling microscope; Microscopy; Electrostatic force microscope; Annealing (glass); Optoelectronics; Scanning electron microscope; Substrate (aquarium); Conductive atomic force microscopy; Non-contact atomic force microscopy; Atomic force microscopy; Chemistry; Optics; Composite material; Electrical engineering; Physics","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":[0.0001315615,0.0003109954,0.000232731,0.0004375373,0.0002516549,0.0002395763,0.0004421776,0.0005515681,0.001228665],"category_scores_gemma":[0.0001765644,0.000154227,0.0001074177,0.0002228726,0.0003410152,0.000405825,0.0002477071,0.0004030326,0.0002924574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450074,"about_ca_system_score_gemma":0.00007982024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004652612,"about_ca_topic_score_gemma":0.0006195912,"domain_scores_codex":[0.9998655,0.00002024998,0.000004290431,0.00002995054,0.00005280631,0.0000271377],"domain_scores_gemma":[0.9998832,0.00004920773,0.00002073851,0.00001082509,0.00001860992,0.00001743224],"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":[0.00003001484,0.0000127636,0.0001532068,0.0001235827,0.000005033071,0.00005941743,0.0000435171,0.000139943,0.9903347,0.000915811,0.0003205754,0.007861486],"study_design_scores_gemma":[0.00002846972,0.0001924263,0.004750004,0.00003641114,0.00001811641,0.0007939226,0.00009133109,0.01398668,0.9618599,0.001167349,0.01704471,0.00003072474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850245,0.02166783,0.1076663,0.001103105,0.0003064318,0.00009138905,0.0005759547,0.001094802,0.0172493],"genre_scores_gemma":[0.9368244,0.004582525,0.05347091,0.0002344721,0.0001691162,0.00004036558,0.0002255576,0.00008001711,0.004372596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001228665,"threshold_uncertainty_score":0.004110277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008200070531737838,"score_gpt":0.2671593528697346,"score_spread":0.2589592823379968,"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."}}