{"id":"W1681645930","doi":"10.1016/j.joen.2015.07.014","title":"Glide Path Management with Single- and Multiple-instrument Rotary Systems in Curved Canals: A Micro–Computed Tomographic Study","year":2015,"lang":"en","type":"article","venue":"Journal of Endodontics","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Dalhousie University; University of Manitoba","funders":"","keywords":"Path (computing); Volume (thermodynamics); Computed tomographic; Molar; Mathematics; Significant difference; Materials science; Orthodontics; Computer science; Physics; Medicine; Computed tomography; Statistics; Surgery","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":[0.0009618665,0.0006146717,0.0006690756,0.001195339,0.000569006,0.0005912173,0.0009379291,0.001350949,0.003552919],"category_scores_gemma":[0.003894277,0.0007636048,0.0007784712,0.0008738801,0.001420466,0.001112417,0.0005246986,0.0006494815,0.0008213381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292067,"about_ca_system_score_gemma":0.001136668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005469586,"about_ca_topic_score_gemma":0.005360178,"domain_scores_codex":[0.9990036,0.0002059993,0.0001153315,0.0001481458,0.0002689798,0.000258],"domain_scores_gemma":[0.9975897,0.0008378544,0.0004446956,0.0003670464,0.0005832064,0.0001775681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04245561,0.01005235,0.4283392,0.0006392562,0.0003083563,0.03286894,0.004399341,0.005035827,0.3286071,0.0005186313,0.0008639317,0.1459115],"study_design_scores_gemma":[0.0006582562,0.03598176,0.8496001,0.00007152438,0.0004999177,0.04590265,0.004808178,0.01163723,0.04635823,0.0003423901,0.003770138,0.0003695974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998098,0.0002112908,0.001073599,0.00002283439,0.000006627857,0.00008011715,0.00007387153,0.00001772347,0.000416004],"genre_scores_gemma":[0.9979529,0.0001804632,0.001306514,0.00003769912,0.00001256028,0.00002782034,0.00006411308,0.0000171411,0.0004006634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005469586,"threshold_uncertainty_score":0.0118857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341873767604359,"score_gpt":0.2624843768395916,"score_spread":0.219065639163548,"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."}}