{"id":"W2170666364","doi":"10.1145/2567574.2567592","title":"Setting learning analytics in context","year":2014,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Learning analytics; Analytics; Computer science; Context (archaeology); Process (computing); Scale (ratio); Data science; Set (abstract data type); Knowledge management; Institution","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":[0.01519605,0.001344965,0.001040276,0.002796763,0.008344691,0.01840444,0.003825138,0.004452366,0.01579679],"category_scores_gemma":[0.02800577,0.0009827825,0.0009612215,0.001626569,0.009512938,0.02092776,0.02888916,0.009004216,0.008103866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005513377,"about_ca_system_score_gemma":0.01012595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027954,"about_ca_topic_score_gemma":0.002680051,"domain_scores_codex":[0.9781792,0.01389055,0.0007973875,0.003249594,0.002267772,0.001615575],"domain_scores_gemma":[0.9734578,0.009252016,0.001668214,0.003298216,0.00377478,0.008548869],"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":[0.0004459058,0.001696647,0.01539469,0.002407223,0.0001343662,0.006081325,0.1115743,0.004311884,0.008597511,0.5318848,0.05281017,0.2646611],"study_design_scores_gemma":[0.0001607486,0.0005880844,0.003355765,0.001623428,0.00008528174,0.00150857,0.06922141,0.002588197,0.00544201,0.1910626,0.7242132,0.0001506795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1580435,0.004635447,0.3724509,0.08253825,0.00382569,0.004379722,0.0009484675,0.004117322,0.3690607],"genre_scores_gemma":[0.746502,0.00266965,0.1939633,0.01053923,0.001533563,0.003134397,0.0005611808,0.0009602365,0.04013637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01840444,"threshold_uncertainty_score":0.0803653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008793174781213225,"score_gpt":0.2506948190231344,"score_spread":0.2419016442419212,"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."}}