{"id":"W4371785007","doi":"10.25300/misq/2022/15499","title":"Technological Entitlement: It’s My Technology and I’ll (Ab)Use It How I Want To","year":2022,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Cyberloafing and Workplace Behavior","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Entitlement (fair division); Context (archaeology); Generalizability theory; Technological change; Psychology; Social psychology; Economics; Microeconomics; Developmental psychology","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":[0.001291106,0.0002452736,0.0001569671,0.0006784649,0.00137955,0.001595497,0.0002707614,0.0007405638,0.003311041],"category_scores_gemma":[0.009243981,0.0001320033,0.0002739454,0.000510088,0.001786295,0.001468174,0.001601764,0.0009087814,0.0005638618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000554515,"about_ca_system_score_gemma":0.0004678796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189216,"about_ca_topic_score_gemma":0.002541219,"domain_scores_codex":[0.9989655,0.000470278,0.00009584388,0.00006931281,0.0002748663,0.0001242021],"domain_scores_gemma":[0.9939301,0.001703907,0.002673287,0.0005199983,0.0005259554,0.0006467882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003258126,0.0008405322,0.7595739,0.0006995971,0.0001761665,0.001049713,0.07029843,0.001082618,0.01547347,0.03454824,0.0074183,0.1085132],"study_design_scores_gemma":[0.00002171483,0.0005772708,0.8740096,0.0003275244,0.00008357859,0.002888681,0.05431844,0.002078923,0.003361926,0.01192276,0.05026552,0.0001439774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974507,0.0002668546,0.003990012,0.001177587,0.00005034284,0.00005161632,0.0001033764,0.0000425188,0.01981073],"genre_scores_gemma":[0.9974445,0.0001271405,0.001073117,0.0002127834,0.00001522185,0.00003716327,0.0000674976,0.000004886256,0.001017723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003311041,"threshold_uncertainty_score":0.01107651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593142924144064,"score_gpt":0.2899025206545155,"score_spread":0.2639710914130749,"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."}}