{"id":"W196558769","doi":"","title":"Pre-lecture Activities in Undergraduate Science Courses","year":2013,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Constructivism (international relations); Mathematics education; Relation (database); Computer science; Psychology","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":[0.007232294,0.001889212,0.001047983,0.0008227915,0.00215274,0.002917521,0.003293923,0.002169465,0.04044966],"category_scores_gemma":[0.01670727,0.0007837471,0.001005314,0.0005886043,0.0009744703,0.002064344,0.004960901,0.003660361,0.02173628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397029,"about_ca_system_score_gemma":0.002794148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002624714,"about_ca_topic_score_gemma":0.001053801,"domain_scores_codex":[0.9949518,0.002087675,0.0003655578,0.0008265023,0.0009493307,0.000819103],"domain_scores_gemma":[0.9842623,0.005264913,0.001432402,0.00140562,0.001980159,0.005654614],"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":[0.003233085,0.0126368,0.00713206,0.004362815,0.00005162967,0.001398287,0.01564664,0.002165855,0.04520037,0.006944005,0.1583378,0.7428905],"study_design_scores_gemma":[0.0008330983,0.01617383,0.05282592,0.004221371,0.0001070283,0.002780116,0.01983983,0.002705978,0.04789529,0.01856006,0.8336663,0.0003911153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4143887,0.00863691,0.163071,0.01279382,0.01851558,0.02798939,0.002226699,0.01148868,0.3408891],"genre_scores_gemma":[0.701097,0.007401663,0.155131,0.005760794,0.003339584,0.0136391,0.002742358,0.0008986256,0.1099899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04044966,"threshold_uncertainty_score":0.1353176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09691906570424683,"score_gpt":0.3898113059478975,"score_spread":0.2928922402436507,"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."}}