{"id":"W3206341195","doi":"10.1108/lht-06-2021-0179","title":"Factors fostering the success of IoT services in academic libraries: a study built to enhance the library performance","year":2021,"lang":"en","type":"article","venue":"Library Hi Tech","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Originality; Service (business); Knowledge management; Structural equation modeling; Library management; Computer science; Resource (disambiguation); Internet of Things; Business; Quantitative analysis (chemistry); World Wide Web; Marketing; Qualitative research; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.005317083,0.0002911499,0.0004549795,0.002921309,0.002983107,0.004530552,0.0005765546,0.0005530029,0.005330095],"category_scores_gemma":[0.01640428,0.00024996,0.0006217335,0.004395847,0.001216389,0.00309199,0.002163232,0.0008314363,0.0008725662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003539008,"about_ca_system_score_gemma":0.00573902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177293,"about_ca_topic_score_gemma":0.01221124,"domain_scores_codex":[0.9967843,0.00147007,0.0002726635,0.0001790612,0.0006455636,0.0006482732],"domain_scores_gemma":[0.9826145,0.006701947,0.00456734,0.000614985,0.002998511,0.002502741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002902797,0.003528875,0.8895093,0.0003423654,0.0000663594,0.0006132958,0.06451804,0.0003441937,0.0006707893,0.001317319,0.00103974,0.03775955],"study_design_scores_gemma":[0.00002909241,0.001223012,0.7688969,0.0001577875,0.0001193239,0.000241602,0.2218612,0.001313925,0.001649852,0.0003946884,0.004034496,0.00007808517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981861,0.00005249681,0.00009641765,0.0001370851,0.000001973251,0.00003150029,0.00002536477,0.000005385268,0.001463709],"genre_scores_gemma":[0.9992188,0.0001170658,0.0001305645,0.00003942941,0.000005406961,0.00002187567,0.00002134344,0.000002431597,0.0004431142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177293,"threshold_uncertainty_score":0.02811974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278137940435235,"score_gpt":0.3890187551269608,"score_spread":0.2612049610834373,"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."}}