{"id":"W2045828803","doi":"10.1002/asi.20598","title":"Task‐based information retrieval: Structuring undergraduate history essays for better course evaluation using essay‐type visualizations","year":2007,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Henan Institute of Science and Technology","keywords":"Computer science; Task (project management); Construct (python library); Domain (mathematical analysis); Information retrieval; Structuring; Quality (philosophy); Course (navigation)","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":[0.005152459,0.0007030435,0.0007556962,0.001996299,0.0003663586,0.002075734,0.0006463237,0.0004891588,0.003605828],"category_scores_gemma":[0.04809519,0.0002511758,0.0003456749,0.001121181,0.0004269927,0.001853278,0.001230421,0.0006011646,0.0004294086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870143,"about_ca_system_score_gemma":0.0003643809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002994958,"about_ca_topic_score_gemma":0.0004769083,"domain_scores_codex":[0.9973241,0.001878089,0.000234224,0.0002230769,0.0002610512,0.00007937298],"domain_scores_gemma":[0.9572347,0.03245307,0.003996382,0.002582985,0.002431962,0.001300843],"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":[0.00497539,0.001868076,0.04962472,0.001513432,0.0000911939,0.0003092898,0.01560054,0.004349371,0.1151341,0.002448978,0.005743224,0.7983418],"study_design_scores_gemma":[0.002587758,0.02036864,0.57837,0.001543832,0.0006771635,0.001492227,0.02171351,0.1666213,0.1330544,0.01991373,0.05286417,0.0007933032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315699,0.000475598,0.05961145,0.0004016657,0.00009889403,0.0006782632,0.000361984,0.002747688,0.004054544],"genre_scores_gemma":[0.9283608,0.000142486,0.06993712,0.00005520376,0.00005394081,0.0004369594,0.0002358704,0.0001091117,0.0006685219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005152459,"threshold_uncertainty_score":0.02724916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336532014976146,"score_gpt":0.3393926042931437,"score_spread":0.3060272841433822,"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."}}