{"id":"W2801711492","doi":"10.1002/elan.201800145","title":"Powder Conductivity Assessment Using a Disposable 3D Printed Device","year":2018,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Thermal properties of materials","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Van der Pauw method; Materials science; Conductivity; Electrical conductor; Composite material; Carbon black; Electrical resistivity and conductivity; 3d printed; Electrode; Carbon nanotube; Biomedical engineering; Electrical engineering; Hall effect; Chemistry","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":[0.0004314402,0.0004314723,0.0003865359,0.0007919042,0.0001917989,0.0007893032,0.0008036849,0.001049773,0.001904776],"category_scores_gemma":[0.001388103,0.0003895648,0.0004036702,0.0003743403,0.0003530327,0.0005416122,0.0003729307,0.0004729058,0.0009872599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002517661,"about_ca_system_score_gemma":0.0001403122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001052739,"about_ca_topic_score_gemma":0.0002251766,"domain_scores_codex":[0.9990748,0.00009425783,0.00006805525,0.000212869,0.000520472,0.00002954803],"domain_scores_gemma":[0.9989496,0.0004578501,0.000147661,0.0002226454,0.0001981639,0.00002415923],"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":[0.00005600374,0.00003678539,0.0004942928,0.00007946175,0.00001397223,0.0001864859,0.00003960001,0.0009528271,0.9751648,0.0001682326,0.0002075688,0.02260005],"study_design_scores_gemma":[0.000007182385,0.000153082,0.001257662,0.000005713401,0.00001676844,0.0002311924,0.00001428277,0.006414546,0.990141,0.000123629,0.001614355,0.00002059452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4322869,0.001132218,0.5525041,0.0002535333,0.0004025419,0.0003270156,0.001339218,0.004254004,0.007500439],"genre_scores_gemma":[0.7413105,0.0005862235,0.2526677,0.0001734046,0.00004591059,0.0002483099,0.0003619482,0.0001416147,0.004464345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001904776,"threshold_uncertainty_score":0.006372154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184221130403366,"score_gpt":0.3100786849067483,"score_spread":0.2782364736027147,"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."}}