{"id":"W4381145033","doi":"10.18608/hla22.017","title":"Institutional Analytics","year":2022,"lang":"en","type":"book-chapter","venue":"Solar eBooks","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Implementation; Learning analytics; Analytics; Optimism; Computer science; Field (mathematics); Data science; Work (physics); Politics; Knowledge management; Management science; Engineering ethics; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00360349,0.00100523,0.0005258141,0.003841788,0.002109572,0.01590612,0.002533383,0.002296675,0.1205416],"category_scores_gemma":[0.008799423,0.0005532348,0.0008606213,0.006404889,0.00227354,0.0136629,0.008410627,0.003235628,0.06213542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003852738,"about_ca_system_score_gemma":0.00457042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002619574,"about_ca_topic_score_gemma":0.003227768,"domain_scores_codex":[0.9965181,0.0009095964,0.0002487763,0.0005384305,0.001458387,0.0003265849],"domain_scores_gemma":[0.9950776,0.001738445,0.0002579782,0.001334662,0.001131449,0.0004599379],"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":[0.00001280819,0.00002120167,0.0002992325,0.0003767333,0.00001068713,0.00007627786,0.0008010809,0.0005100663,0.000217029,0.5272309,0.2683404,0.2021036],"study_design_scores_gemma":[0.000001291692,0.000002396006,0.00007755814,0.000162254,0.000001441051,0.00005159076,0.00020251,0.0002057126,0.0001078679,0.03322732,0.9659552,0.000004878646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0009575372,0.009497481,0.07180687,0.01399174,0.002146032,0.0002707183,0.002650507,0.004098645,0.8945805],"genre_scores_gemma":[0.03766489,0.02651547,0.08289562,0.006231428,0.003249427,0.0005361889,0.009570706,0.003140073,0.8301962],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1205416,"threshold_uncertainty_score":0.4032518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274190597731722,"score_gpt":0.2400344012215581,"score_spread":0.2172924952442408,"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."}}