{"id":"W2884220701","doi":"10.1002/smll.201801349","title":"A Modular Solder System with Hierarchical Morphology and Backward Compatibility","year":2018,"lang":"en","type":"article","venue":"Small","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; McGill University","funders":"National Research Council of Science and Technology; Korea Institute of Industrial Technology; Ministry of Science, ICT and Future Planning","keywords":"Materials science; Soldering; PEDOT:PSS; Composite material; Compatibility (geochemistry); Nanoparticle; Polystyrene; Polymer; Polyethylene terephthalate; Polystyrene sulfonate; Adhesive; Nanotechnology; Chemical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001010924,0.0001135747,0.0001618005,0.00004472013,0.00005403935,0.0000156585,0.0001107305,0.00008808927,0.000003543001],"category_scores_gemma":[0.00001028471,0.0000924475,0.00001460149,0.0000750596,0.0002276807,0.00002193671,0.00004135064,0.0001962476,0.00001549078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004791421,"about_ca_system_score_gemma":0.00001105765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002706549,"about_ca_topic_score_gemma":0.00006965484,"domain_scores_codex":[0.9993706,0.00001809052,0.00009377798,0.000186098,0.0000515885,0.0002798998],"domain_scores_gemma":[0.9996088,0.00002360927,0.00001066839,0.0002937314,0.00002109632,0.00004208589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007744969,0.0006288644,0.2562303,0.007858173,0.002928175,0.001059508,0.02278019,0.03467532,0.3332754,0.2060723,0.006887275,0.1268299],"study_design_scores_gemma":[0.003660751,0.001980806,0.1511948,0.0006162357,0.0001320422,0.001269995,0.001728219,0.7617492,0.06563392,0.006605874,0.003410812,0.002017396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664819,0.0002150113,0.03064016,0.00008639852,0.00006859335,0.00008111929,0.00000204389,0.001286843,0.001137969],"genre_scores_gemma":[0.9946375,0.000009217463,0.005248082,0.00001158306,0.00004211705,0.00001055372,0.000001414807,0.00001873896,0.0000208299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7270738,"threshold_uncertainty_score":0.37699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182954025812875,"score_gpt":0.1946783203221214,"score_spread":0.1828487800639927,"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."}}