{"id":"W3147608764","doi":"10.29173/iasl7974","title":"Information search behavior and utilization of digital library of innovative consumers","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital library; World Wide Web; Digital collections; Computer science; Domain (mathematical analysis); Multimedia; Library science; Mathematics","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":[0.0008165537,0.0001324143,0.0002096027,0.00189764,0.0003281776,0.001332476,0.000219736,0.000485423,0.002769257],"category_scores_gemma":[0.005411389,0.0001661487,0.0003047365,0.001447873,0.0001885648,0.001051121,0.0004081244,0.0003422464,0.0005029431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413084,"about_ca_system_score_gemma":0.0003056515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005164082,"about_ca_topic_score_gemma":0.00601784,"domain_scores_codex":[0.9995552,0.0001267241,0.00006269436,0.00005062359,0.0001375078,0.00006723083],"domain_scores_gemma":[0.99506,0.002131447,0.001584235,0.0001942216,0.000680324,0.0003497067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008651851,0.0002205366,0.9874264,0.00004474081,0.00003447759,0.0001048584,0.002700887,0.00004903419,0.0006774098,0.00007633601,0.0001074416,0.008471362],"study_design_scores_gemma":[0.000005362049,0.0001758347,0.9931906,0.00001926692,0.00003037987,0.0001999927,0.004756785,0.00054259,0.0002813901,0.0000531163,0.000733889,0.00001069179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990417,0.0000923921,0.00003520772,0.00003905135,7.775996e-7,0.000007405115,0.00005194815,0.000002109534,0.0007292073],"genre_scores_gemma":[0.9989024,0.0001142954,0.00009581882,0.00003325607,0.000003835275,0.000007901789,0.0001286664,0.000001909807,0.0007118876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005164082,"threshold_uncertainty_score":0.01026803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118957199394397,"score_gpt":0.3650670035972327,"score_spread":0.2461098042028356,"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."}}