{"id":"W2482643417","doi":"10.4018/978-1-4666-9634-1.ch016","title":"Concept Science Evidence-Based MERLO Learning Analytics","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Learning analytics; Informatics; Computer science; Analytics; Science learning; Meaning (existential); Mathematics education; Data science; Learning sciences; Knowledge management; Educational technology; Science education; Psychology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005136259,0.0003750967,0.0003846605,0.0008245317,0.0004060967,0.0002235987,0.001109477,0.0002676755,0.00003724956],"category_scores_gemma":[0.001047218,0.0003619222,0.00006463187,0.0004402125,0.002510714,0.004128483,0.0003391875,0.0008349711,0.00001290734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003593945,"about_ca_system_score_gemma":0.002137253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000368583,"about_ca_topic_score_gemma":0.000003708106,"domain_scores_codex":[0.9975353,0.0000312782,0.0004588685,0.0008274007,0.0007963693,0.0003507223],"domain_scores_gemma":[0.9980274,0.0004422334,0.0003910677,0.0004519903,0.0006028433,0.0000843968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001246219,0.00001274034,0.00009645879,0.00002455583,0.00001020103,0.000003611719,0.0000325407,0.01525197,0.00001443306,0.9080895,0.000265269,0.07618632],"study_design_scores_gemma":[0.0001459017,0.0002951559,0.0000701731,0.0005565975,0.00001559699,0.00008202423,0.0002122974,0.008277266,0.0001457845,0.654959,0.3347556,0.0004846409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0002233465,0.543791,0.2075568,0.1006559,0.005517329,0.00169272,0.00006395993,0.003447969,0.1370509],"genre_scores_gemma":[0.02574631,0.09517832,0.6405819,0.0004542603,0.0006069689,0.0001030683,0.00006340264,0.00009652411,0.2371693],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4486127,"threshold_uncertainty_score":0.9998833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04357824006544862,"score_gpt":0.3043174230339099,"score_spread":0.2607391829684613,"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."}}