{"id":"W7083806413","doi":"10.4224/crm.2025.nppp-1","title":"NPPP-1: Nanoscale Polypropylene Reference Material","year":2025,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Polypropylene; Nanoscopic scale; Dispersion (optics); Scale (ratio); Ampoule","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009339463,0.001113345,0.0005779088,0.002139451,0.0008684575,0.0009548481,0.002328352,0.001367099,0.09259138],"category_scores_gemma":[0.002974973,0.0006524449,0.0002987683,0.001948754,0.0003074211,0.00171715,0.001090047,0.001036135,0.1089083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000729014,"about_ca_system_score_gemma":0.0009662754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001610429,"about_ca_topic_score_gemma":0.002685777,"domain_scores_codex":[0.9989958,0.00006145027,0.00005520051,0.0001602272,0.0006696582,0.00005762422],"domain_scores_gemma":[0.9988538,0.0001663287,0.00007962537,0.0002566239,0.0005785617,0.00006506425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005542368,0.000221726,0.0006877614,0.00257143,0.00002380218,0.0005621129,0.0001189797,0.002386437,0.2531219,0.01375613,0.5449939,0.1810016],"study_design_scores_gemma":[0.00003196864,0.00008554902,0.0006018635,0.0001345337,0.00001732088,0.0004283991,0.00002225098,0.001602305,0.2311832,0.001384522,0.7644653,0.00004297119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03724561,0.007428003,0.200094,0.001950422,0.002628919,0.001866042,0.3963792,0.04520794,0.3071998],"genre_scores_gemma":[0.0699943,0.007332788,0.1661756,0.0009855744,0.0002565762,0.002415217,0.4461413,0.01284274,0.293856],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09259138,"threshold_uncertainty_score":0.309749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007600781754985793,"score_gpt":0.2249063589704576,"score_spread":0.2173055772154718,"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."}}