{"id":"W7024470443","doi":"","title":"SAILing through Law School: Assessing Legal Research Skills within the Information Literacy Framework","year":2016,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Information literacy; Test (biology); Literacy; Legal research; Measure (data warehouse); Numeracy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002521795,0.0002550349,0.0002874334,0.003105394,0.001095551,0.002505397,0.0008257539,0.0006740106,0.002348515],"category_scores_gemma":[0.01004907,0.0001573683,0.0003150147,0.001519231,0.00206702,0.002332489,0.001313908,0.001129604,0.0003742663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009911,"about_ca_system_score_gemma":0.007246132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03787019,"about_ca_topic_score_gemma":0.1031632,"domain_scores_codex":[0.9982994,0.0004465918,0.0001400914,0.0001415578,0.0006955577,0.000276802],"domain_scores_gemma":[0.992585,0.002141211,0.002164292,0.0004271212,0.00162275,0.001059645],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005772528,0.002486368,0.8423759,0.0001620195,0.00003801058,0.0002203631,0.01746584,0.0005607728,0.002328372,0.005348238,0.002185314,0.126771],"study_design_scores_gemma":[0.0000230735,0.000911794,0.9612504,0.0001586939,0.00004434815,0.0002252155,0.01847076,0.001150562,0.005501908,0.002642833,0.00957132,0.00004909463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828088,0.0001336634,0.001257982,0.0004678835,0.00001317516,0.0001686836,0.00009547972,0.00002835195,0.01502614],"genre_scores_gemma":[0.9928993,0.0002119601,0.00438615,0.00018833,0.000006476596,0.0001062279,0.0001640815,0.000004135056,0.00203341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974782,"threshold_uncertainty_score":0.07529956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963053043454547,"score_gpt":0.3226387063436114,"score_spread":0.3030081759090659,"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."}}