{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002112344,0.0002492189,0.0002632223,0.0002154283,0.0003494625,0.0001228393,0.0009828797,0.0001633018,0.0002908714],"category_scores_gemma":[0.00001737136,0.0002610052,0.0002301444,0.00002568498,0.00009543774,0.00007317492,0.0006270566,0.0009538658,0.0002541017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151261,"about_ca_system_score_gemma":0.0004687937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006509184,"about_ca_topic_score_gemma":0.000005583676,"domain_scores_codex":[0.9985049,0.00001921483,0.000260992,0.0004488928,0.0005412913,0.0002246511],"domain_scores_gemma":[0.9989288,0.00003981431,0.000165969,0.0006925405,0.00006904399,0.0001037723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[9.377677e-7,0.000005885803,0.000004068607,0.00001129454,0.00005629222,0.0001198214,0.00005617415,0.0002772014,0.000002199597,0.981736,0.0009489153,0.01678118],"study_design_scores_gemma":[0.00009346283,0.00005130113,0.000002804449,0.00002887042,0.00003208468,0.00003659648,0.000001695734,0.009864662,0.000003989996,0.1046083,0.8849964,0.000279807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004143677,0.0001947758,0.02106711,0.0006479963,0.0005198107,0.00007076435,0.00002523587,0.0002256312,0.9772446],"genre_scores_gemma":[0.002232043,0.00002562639,0.007445973,0.0004390925,0.000351943,0.000002924643,0.00003793332,0.00003341425,0.989431],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8840475,"threshold_uncertainty_score":0.9999842,"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."}}