{"id":"W2086456181","doi":"10.1103/physrevb.74.115417","title":"Magnetoconductance of molecularly linked Au nanoparticle arrays near the metal-insulator transition","year":2006,"lang":"en","type":"article","venue":"Physical Review B","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Scattering; Condensed matter physics; Weak localization; Nanoparticle; Percolation (cognitive psychology); Metal–insulator transition; Percolation threshold; Conductance; Electron scattering; Insulator (electricity); Inelastic scattering; Metal; Magnetoresistance; Nanotechnology; Physics; Electrical resistivity and conductivity; Optics; Optoelectronics; Magnetic field","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":[0.0001307399,0.0001495614,0.0003423519,0.000007017079,0.0001152658,0.00001943342,0.0001547343,0.00001099659,0.0001425354],"category_scores_gemma":[0.000001936661,0.0001013538,0.0002611948,0.0002425738,0.000133916,0.0001147665,0.000006201685,0.0001336855,0.00005473151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001248384,"about_ca_system_score_gemma":0.00007222297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002649123,"about_ca_topic_score_gemma":0.000003463195,"domain_scores_codex":[0.999009,0.00006472006,0.0002865408,0.0001891285,0.0001864877,0.0002641588],"domain_scores_gemma":[0.999482,0.00003275157,0.0001076213,0.0002810841,0.00004915324,0.00004741079],"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":[0.00002766835,0.0009453312,0.0006532838,0.0006577111,0.000125022,0.000001665344,0.0005683475,0.0002930655,0.6354253,0.3534355,0.0002470483,0.007620126],"study_design_scores_gemma":[0.002992687,0.0009540752,0.01893181,0.001740736,0.00220453,0.000003075157,0.0001279822,0.01059112,0.4695571,0.4508803,0.0403262,0.001690339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890761,0.004189363,0.003254833,0.0007279674,0.0000280655,0.0004860269,0.00002108634,0.00002015125,0.002196388],"genre_scores_gemma":[0.9993486,0.00004376636,0.00008542636,0.0001699828,0.0001931778,0.00008394573,0.00002935458,0.00001572554,0.00002995922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1658681,"threshold_uncertainty_score":0.4133089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00886953550809586,"score_gpt":0.2420788337817723,"score_spread":0.2332092982736764,"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."}}