{"id":"W2597946561","doi":"10.18438/b84c96","title":"Arranging the Pieces: A Survey of Library Practices Related to a Tabletop Game Collection","year":2017,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Digital Games and Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Collection development; Snowball sampling; World Wide Web; Process (computing); Multimedia","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":[0.007323375,0.0002490753,0.0005288208,0.004750274,0.002469325,0.005305495,0.001763436,0.0007449374,0.0042754],"category_scores_gemma":[0.03405345,0.0006631362,0.0004329184,0.00724271,0.001815188,0.004433067,0.00327489,0.0009194906,0.001041547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002949203,"about_ca_system_score_gemma":0.002882969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236196,"about_ca_topic_score_gemma":0.01759132,"domain_scores_codex":[0.9881406,0.00572479,0.001710125,0.0007598705,0.002919464,0.0007451669],"domain_scores_gemma":[0.9507958,0.02435602,0.01317688,0.002741362,0.005178619,0.003751268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003410557,0.000658875,0.5151259,0.002132733,0.0001749254,0.001300959,0.3113653,0.0002794465,0.003080433,0.0009523073,0.005953079,0.158635],"study_design_scores_gemma":[0.00001476228,0.0006276781,0.511252,0.0007746035,0.00006910631,0.001235564,0.4329116,0.0005425212,0.001407966,0.0002864127,0.05075039,0.0001273994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907374,0.001451774,0.0008259538,0.0006551062,0.00001270036,0.0001692247,0.00018452,0.00008325803,0.005879958],"genre_scores_gemma":[0.9917656,0.002329376,0.002260477,0.0003842475,0.00002074267,0.0001533804,0.0002603199,0.00004429827,0.002781487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01236196,"threshold_uncertainty_score":0.03873014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455739125319941,"score_gpt":0.3207188650402331,"score_spread":0.2861614737870337,"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."}}