{"id":"W4412065407","doi":"10.1186/s12903-025-06437-w","title":"Exploring the divide between dental clinicians and academics for more inclusive partnerships: perspectives on building a research network","year":2025,"lang":"en","type":"article","venue":"BMC Oral Health","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Sunnybrook Hospital; Ontario Council of University Libraries","funders":"","keywords":"Thematic analysis; Rigour; Medicine; Qualitative research; Medical education; Knowledge translation; Dentistry; Public relations; Sociology; Political science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01299729,0.0001475945,0.0004421624,0.0002125659,0.001094473,0.00003155227,0.0001889409,0.000126041,0.00000313229],"category_scores_gemma":[0.03272063,0.00009827466,0.00007700729,0.0006709512,0.0004079837,0.00009957768,0.0002487842,0.001704577,0.000004249124],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008373148,"about_ca_system_score_gemma":0.005757737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000301521,"about_ca_topic_score_gemma":0.0005111416,"domain_scores_codex":[0.995733,0.000647653,0.0004422087,0.0004189473,0.0008063727,0.001951848],"domain_scores_gemma":[0.9898869,0.006977834,0.00007609565,0.0002949457,0.0001926874,0.002571505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003989898,0.0002889466,0.4778452,0.003823505,0.0001406494,0.0000191741,0.01046894,0.00001929999,0.00001406436,0.03608631,0.09407074,0.3732333],"study_design_scores_gemma":[0.009087336,0.009254453,0.5223409,0.009078973,0.0001138512,0.00001785468,0.103615,0.001725418,0.000145822,0.01265759,0.3315164,0.0004464072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564136,0.002965938,0.002127362,0.1351095,0.0001902623,0.002858231,0.00002470807,0.00005582192,0.000254587],"genre_scores_gemma":[0.9792171,0.0032747,0.001670112,0.01339667,0.00187363,0.0002693094,0.00001265001,0.00002463209,0.0002612184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3727869,"threshold_uncertainty_score":0.9998787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7929158733264766,"score_gpt":0.6285093986274061,"score_spread":0.1644064746990705,"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."}}