{"id":"W3112091518","doi":"10.1002/jdd.12510","title":"Use of mind maps in dental education: An activity performed in a preclinical endodontic course","year":2020,"lang":"en","type":"article","venue":"Journal of Dental Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Mind map; Conceptualization; Creativity; Psychology; Root (linguistics); Thematic analysis; Concept map; Dental education; Mathematics education; Process (computing); Thematic map; Computer science; Qualitative research; Dentistry; Artificial intelligence; Medicine; Sociology; Social psychology; Social science; Cartography; Geography","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":[0.002569593,0.001213766,0.0008619837,0.001240785,0.00202945,0.00148451,0.001004778,0.001016332,0.003166045],"category_scores_gemma":[0.007629629,0.0004854933,0.0006661577,0.0005282389,0.001207712,0.0007813642,0.002859126,0.001613882,0.001000856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148014,"about_ca_system_score_gemma":0.002338679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008337466,"about_ca_topic_score_gemma":0.002185284,"domain_scores_codex":[0.9987948,0.0003742604,0.0000636286,0.000211977,0.0002474175,0.0003079354],"domain_scores_gemma":[0.9948769,0.001581059,0.0005958573,0.0003504707,0.0007622345,0.00183346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002518098,0.05067408,0.1926097,0.001543376,0.0001096935,0.002662499,0.1764145,0.002654359,0.08815344,0.0009208875,0.00698334,0.474756],"study_design_scores_gemma":[0.0006052378,0.03733459,0.6825051,0.0005033515,0.000177146,0.003189054,0.1255097,0.008550698,0.1058154,0.003951532,0.03131188,0.0005462375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977648,0.00003878885,0.000851071,0.0000867216,0.00001057555,0.0002522264,0.00003141295,0.00004274585,0.0009216329],"genre_scores_gemma":[0.9866143,0.000151863,0.009927263,0.0000895393,0.0000137222,0.0004574967,0.00009813805,0.00001508725,0.002632497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003166045,"threshold_uncertainty_score":0.01358944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06309218991739261,"score_gpt":0.4203328528874604,"score_spread":0.3572406629700677,"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."}}