{"id":"W6920748155","doi":"10.6084/m9.figshare.29486367","title":"Additional file 1 of 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":"Figshare","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Qualitative research; Key (lock); Data collection; Focus (optics)","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":["metaresearch","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008144704,0.0006274876,0.001064656,0.00412745,0.001719485,0.003767001,0.002692247,0.002486605,0.9265205],"category_scores_gemma":[0.1453912,0.0007091965,0.0007710308,0.008257275,0.000733826,0.005723128,0.00252312,0.00157774,0.1993511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002816633,"about_ca_system_score_gemma":0.005511942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560527,"about_ca_topic_score_gemma":0.03655741,"domain_scores_codex":[0.9970149,0.001374985,0.0004088294,0.000336849,0.0005319291,0.000332447],"domain_scores_gemma":[0.7796842,0.1946214,0.005169032,0.005307213,0.01156186,0.003656246],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008504053,0.00004574564,0.0007703271,0.001031393,0.00001029562,0.00002560688,0.0001134236,0.0001114492,0.000008293484,0.002530587,0.9905337,0.004733972],"study_design_scores_gemma":[0.003166539,0.000151724,0.01631516,0.006525131,0.00009836032,0.0003280902,0.003770042,0.001559948,0.0001680943,0.05176786,0.9159828,0.0001662772],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003132724,0.00005658343,0.0008108356,0.002628955,0.000171604,0.0002745,0.9879297,0.0002359937,0.007578505],"genre_scores_gemma":[0.03084036,0.0007272257,0.02791047,0.008373328,0.0007743375,0.009133524,0.8605573,0.001908113,0.05977527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9973078,"threshold_uncertainty_score":0.1048096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5514142074183953,"score_gpt":0.5975139884078268,"score_spread":0.04609978098943146,"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."}}