{"id":"W4414081732","doi":"10.1021/acsami.5c07261","title":"Improving Printed and Thermoformed Conductors on Polycarbonate with a Thin-Film BNNT Interlayer for Next-Generation In-Mold Electronics","year":2025,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Thermal properties of materials","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Thermoforming; Electrical conductor; Substrate (aquarium); Electronics; Polycarbonate; Boron nitride; Flexible electronics; Thermal conductivity","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009025901,0.0004464241,0.0006120719,0.0001736762,0.0001478392,0.000685734,0.00045377,0.0001829588,0.0002743803],"category_scores_gemma":[0.00008103629,0.0003230265,0.00001665308,0.00008494172,0.0001699627,0.0003513442,0.0002569092,0.0001272712,0.00003651499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671185,"about_ca_system_score_gemma":0.0001128209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002649086,"about_ca_topic_score_gemma":0.0001316404,"domain_scores_codex":[0.9976184,0.0001087216,0.0006990753,0.000740956,0.0002019139,0.0006309367],"domain_scores_gemma":[0.9990132,0.0001152314,0.0003168438,0.0004230678,0.00008047129,0.00005115254],"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":[0.002578859,0.00006544598,0.000004855875,0.0001897885,0.00003887569,0.000001223977,0.0006349206,0.0001645818,0.9920172,0.0033546,0.00007010648,0.0008795296],"study_design_scores_gemma":[0.001348417,0.0003933865,0.00005071983,0.0001680419,0.00003796709,0.000003734863,0.0004379447,0.00005454068,0.9966584,0.0003598215,0.0001198901,0.0003671315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963901,0.0002026801,0.00005161878,0.0002540691,0.0008003475,0.001615243,0.00005646551,0.0001561266,0.0004733751],"genre_scores_gemma":[0.9979381,0.0000314942,0.0005121534,0.0005103031,0.0001069346,0.000565641,0.0000259192,0.00006534725,0.0002440823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004641192,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312010776418036,"score_gpt":0.2419682741463506,"score_spread":0.2188481663821702,"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."}}