{"id":"W1828541503","doi":"10.22230/src.2012v3n1a51","title":"Interfacing the Collection","year":2012,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Persona Design and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"World Wide Web; Computer science; Interfacing; sort; Digital collections; Digital library; Interface (matter); Data science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002780252,0.001295295,0.001196772,0.002443176,0.00326266,0.009667741,0.002607596,0.002312842,0.06498349],"category_scores_gemma":[0.0143153,0.0006452645,0.001296711,0.002962502,0.001420961,0.01044981,0.01110619,0.001719226,0.02344204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007099024,"about_ca_system_score_gemma":0.001431906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322479,"about_ca_topic_score_gemma":0.003362928,"domain_scores_codex":[0.9974985,0.0006888195,0.0002438166,0.0004905924,0.000853862,0.000224442],"domain_scores_gemma":[0.9948714,0.001450091,0.000154596,0.002092451,0.0009279036,0.0005035219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004705638,0.0002623282,0.006480436,0.001425159,0.0001363109,0.002605065,0.03377869,0.00210192,0.02570561,0.07581493,0.1569045,0.6943145],"study_design_scores_gemma":[0.00002546406,0.0001297225,0.00195124,0.0003703155,0.00009595475,0.001625541,0.003731531,0.004510537,0.007967696,0.01686228,0.9625595,0.0001702022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02922184,0.002463388,0.6469986,0.003194163,0.002321636,0.001486056,0.002122095,0.03263396,0.2795583],"genre_scores_gemma":[0.223763,0.003339269,0.5505504,0.003634244,0.001082545,0.001525132,0.004438197,0.01385678,0.1978105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06498349,"threshold_uncertainty_score":0.2173914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421222524111804,"score_gpt":0.3897235765990459,"score_spread":0.2476013241878655,"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."}}