{"id":"W2574028772","doi":"10.1016/j.dental.2016.12.006","title":"Application of close-packed structures in dental resin composites","year":2017,"lang":"en","type":"article","venue":"Dental Materials","topic":"Dental materials and restorations","field":"Dentistry","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Shanghai International Science and Technology","keywords":"Materials science; Composite material; Dispersity; Particle (ecology); Particle size; Shrinkage; Atomic packing factor; Polymerization; Filler (materials); Polymer; Chemical engineering; Polymer chemistry; Crystallography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001741461,0.0001569087,0.0003274628,0.00008570668,0.0002074587,0.0003485319,0.0004586541,0.0001205226,0.0004220977],"category_scores_gemma":[0.00004546487,0.000143977,0.0000527149,0.00003891341,0.000179951,0.0002832176,0.0002069887,0.00004577003,0.0002732221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005183928,"about_ca_system_score_gemma":0.00001210327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869282,"about_ca_topic_score_gemma":0.001214007,"domain_scores_codex":[0.9987467,0.00008365467,0.0005008728,0.0002503971,0.0002335017,0.0001848607],"domain_scores_gemma":[0.9989217,0.00002041853,0.0004267432,0.0005520702,0.00003053727,0.00004854392],"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":[0.0001200254,0.00008109579,0.08245935,0.00005683808,0.00001300621,0.0000319734,0.00004529821,8.621705e-7,0.906651,0.0102775,0.0001448707,0.000118136],"study_design_scores_gemma":[0.0004296684,0.00001730816,0.4721164,0.00002673797,0.00000758464,0.0000363474,0.00006490161,0.000002120777,0.5248364,0.002280282,0.00009200966,0.00009021976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965658,0.00004259911,0.00001326731,0.00002081709,0.001874042,0.0003642872,0.0004057582,0.00003339331,0.0006799895],"genre_scores_gemma":[0.9990954,0.00000884206,0.0002786191,0.00001735253,0.000194073,0.00003508107,0.0002046879,0.00002414137,0.0001417487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3896571,"threshold_uncertainty_score":0.5871212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313506875950899,"score_gpt":0.298902135685247,"score_spread":0.285767066925738,"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."}}