{"id":"W2514103599","doi":"10.1016/j.dental.2015.08.088","title":"Re-examining the role of ferric chloride in resin–dentin bonding","year":2015,"lang":"en","type":"article","venue":"Dental Materials","topic":"Dental materials and restorations","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Ferric; Dentin; Chloride; Composite material; Nuclear chemistry; Metallurgy; Chemistry","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":[0.003728038,0.0007122495,0.0007322929,0.001096598,0.0008893997,0.001944675,0.002036842,0.001945612,0.0036562],"category_scores_gemma":[0.003218085,0.0002907008,0.0008812156,0.0003349246,0.001919352,0.003633208,0.0009662709,0.002360514,0.0008917451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121045,"about_ca_system_score_gemma":0.002188406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006641387,"about_ca_topic_score_gemma":0.01305221,"domain_scores_codex":[0.9986038,0.0004445787,0.0001608473,0.0002042094,0.0004005056,0.0001861411],"domain_scores_gemma":[0.9970562,0.001226608,0.0002174087,0.0003724563,0.001033003,0.00009434033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001750557,0.001045729,0.01100495,0.005729901,0.0002952547,0.001566923,0.002535198,0.0008420859,0.4366055,0.01820583,0.0147483,0.5056698],"study_design_scores_gemma":[0.0001435804,0.002571755,0.01639913,0.00300916,0.001112381,0.004397512,0.007310155,0.003390456,0.516596,0.01994431,0.4249586,0.0001669875],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.522003,0.3227655,0.02346386,0.059935,0.009737614,0.0002886464,0.0002055681,0.0002833034,0.06131746],"genre_scores_gemma":[0.8282391,0.1031194,0.02179145,0.01263047,0.002279439,0.00007545367,0.0001107691,0.0001595447,0.03159429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006641387,"threshold_uncertainty_score":0.01971596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03923137560559269,"score_gpt":0.2894424801336321,"score_spread":0.2502111045280394,"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."}}