{"id":"W2023654278","doi":"10.1002/bmb.20230","title":"Bridging the educational research‐teaching practice gap","year":2008,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Bridging (networking); Psychology; Mathematics education; Computer science","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":[0.1221717,0.0005957158,0.00137804,0.005912324,0.005717124,0.01640753,0.005851944,0.01468354,0.01366697],"category_scores_gemma":[0.1485682,0.0008543823,0.0005180509,0.003501229,0.02566968,0.03030041,0.03312375,0.01318968,0.002524579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01131127,"about_ca_system_score_gemma":0.02874083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235358,"about_ca_topic_score_gemma":0.002146496,"domain_scores_codex":[0.9332517,0.04407518,0.00346343,0.005615374,0.0105472,0.003047109],"domain_scores_gemma":[0.5165474,0.424129,0.01007212,0.01186402,0.01724844,0.02013892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001326108,0.0009148001,0.003455308,0.003982797,0.00005258937,0.0007591036,0.0426018,0.000619671,0.0008917843,0.3054047,0.05725925,0.5839256],"study_design_scores_gemma":[0.0002650718,0.0006145705,0.005931298,0.01094089,0.00002717823,0.001355168,0.09092658,0.001656139,0.001010032,0.4867794,0.4003969,0.00009687319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01739198,0.05538496,0.01503028,0.8807573,0.003589288,0.0001003176,0.00003306571,0.0001584968,0.02755426],"genre_scores_gemma":[0.7528539,0.04615749,0.03274028,0.1490245,0.009366039,0.0009801387,0.0001116948,0.0002045438,0.008561485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1221717,"threshold_uncertainty_score":0.6461134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06275387938039642,"score_gpt":0.4390608112227021,"score_spread":0.3763069318423057,"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."}}