{"id":"W3173459050","doi":"10.51847/zwjsbef","title":"10.51847/zwjsBeF","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cone beam computed tomography; Medicine; Molar; Dentistry; Orthodontics; Computed tomography; Population; Context (archaeology); Radiography; Radiology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005400298,0.0006259787,0.0004025148,0.001741775,0.0007695423,0.001457508,0.0004851715,0.001251324,0.7811723],"category_scores_gemma":[0.001038343,0.0002159124,0.0002752731,0.0009527821,0.0003991159,0.00131273,0.0008996714,0.0005232178,0.6288078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004817041,"about_ca_system_score_gemma":0.0005711282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00352013,"about_ca_topic_score_gemma":0.003096869,"domain_scores_codex":[0.9996126,0.00005279859,0.00004073171,0.00008877071,0.0001097437,0.00009531248],"domain_scores_gemma":[0.9994583,0.00009088738,0.00005996539,0.00005361819,0.0002061571,0.0001311891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003307454,0.0004134008,0.0190247,0.0003929077,0.00003080431,0.001035256,0.0002431383,0.000211031,0.004531439,0.00360099,0.1283649,0.8418207],"study_design_scores_gemma":[0.00009803312,0.0001977208,0.03634181,0.000538028,0.00003308617,0.005669412,0.0007351233,0.0008266944,0.001849744,0.002501812,0.9511681,0.00004054969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05191988,0.003231041,0.004816403,0.005073199,0.001870503,0.0002376995,0.005715751,0.001702399,0.9254331],"genre_scores_gemma":[0.06033394,0.001556935,0.007633198,0.001152718,0.0003662893,0.0001953413,0.003973814,0.000298311,0.9244895],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2188277,"threshold_uncertainty_score":0.312131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009509925684046535,"score_gpt":0.2161443548164623,"score_spread":0.2066344291324158,"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."}}