{"id":"W4230063263","doi":"10.18438/eblip29721","title":"Gathering Evidence of Learning in Library Curriculum Center Spaces with Web GIS","year":2020,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Administration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Computer science; Space (punctuation); World Wide Web; Multimedia; Psychology; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02892531,0.000561796,0.0005377867,0.007546009,0.00117208,0.003742198,0.001689435,0.0008065113,0.004708527],"category_scores_gemma":[0.1176424,0.0005442618,0.0007250782,0.008553367,0.003179277,0.00508767,0.004282517,0.001153907,0.000769949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406897,"about_ca_system_score_gemma":0.003640671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005190503,"about_ca_topic_score_gemma":0.008957757,"domain_scores_codex":[0.954302,0.02783483,0.003934709,0.001766512,0.01124301,0.0009189504],"domain_scores_gemma":[0.7398981,0.1730038,0.02686825,0.01583243,0.04295146,0.0014459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009519298,0.003503678,0.4708664,0.01100841,0.0008250012,0.0004899746,0.07065051,0.00230352,0.003491335,0.004722923,0.00365623,0.42753],"study_design_scores_gemma":[0.0002917257,0.01042403,0.6533313,0.01492873,0.001174611,0.0006144515,0.2143451,0.005293714,0.02810974,0.003954948,0.06731841,0.0002133521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661582,0.001073721,0.00964162,0.001023217,0.00004674379,0.0006947814,0.0007470359,0.0001029685,0.02051175],"genre_scores_gemma":[0.9865546,0.001123755,0.01091687,0.0001289572,0.00002603302,0.0003183346,0.0003611105,0.00002563457,0.0005447377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02892531,"threshold_uncertainty_score":0.1529735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173356054579068,"score_gpt":0.2763335501790251,"score_spread":0.2545999896332344,"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."}}