{"id":"W3211583753","doi":"10.1088/1361-648x/ac3a85","title":"Decoding the conductance of disordered nanostructures: a quantum inverse problem","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Science Foundation Ireland; Compute Canada; Western Canada Research Grid; CMC Microsystems","keywords":"Conductance; Decoding methods; Graphene; Nanoscopic scale; Robustness (evolution); Inverse; Inversion (geology); Spectral line; Conductance quantum","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":[0.0005363229,0.0002664151,0.0003674084,0.00041453,0.0003188286,0.0008161056,0.0003971171,0.001124391,0.0007231275],"category_scores_gemma":[0.002779385,0.0002992969,0.0002945373,0.0002354629,0.001801184,0.001766449,0.0006107005,0.0009806252,0.0001375232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000502898,"about_ca_system_score_gemma":0.0004250539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007796201,"about_ca_topic_score_gemma":0.0005118811,"domain_scores_codex":[0.9997877,0.00008090474,0.00001170012,0.0000489453,0.00004940116,0.00002141078],"domain_scores_gemma":[0.9990087,0.000786034,0.00004746668,0.00007854959,0.00005214737,0.00002701982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002093341,0.0001269279,0.001359671,0.0003400108,0.00005091217,0.0005393304,0.0005678001,0.2985883,0.07980511,0.5407617,0.001619039,0.07603183],"study_design_scores_gemma":[0.00002765019,0.00002671563,0.0002342702,0.00001339802,0.00000594129,0.0001196801,0.00006006507,0.7717814,0.009344866,0.217496,0.0008704203,0.00001958831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2013722,0.0005134781,0.7867969,0.002753002,0.00008638504,0.00004580102,0.0001207927,0.0002134129,0.008097922],"genre_scores_gemma":[0.8510538,0.0005759212,0.1449537,0.0002567757,0.00007415593,0.00006746619,0.000083295,0.0000679856,0.002866869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001124391,"threshold_uncertainty_score":0.003648818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018887083913588,"score_gpt":0.2251507515605046,"score_spread":0.2149618807213687,"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."}}