{"id":"W2003233968","doi":"10.1504/ijecrm.2011.041260","title":"Interacting effect of conformity and critical mass in technology acceptance: a conceptual model","year":2011,"lang":"en","type":"article","venue":"International Journal of Electronic Customer Relationship Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Conformity; Conceptual model; Context (archaeology); Knowledge management; Technology acceptance model; Psychology; Conceptual framework; Marketing; Critical mass (sociodynamics); Business; Social psychology; Computer science; Human–computer interaction; Sociology; Usability","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002158482,0.0001212538,0.0002804879,0.00174678,0.0000406817,0.00003447034,0.0007976601,0.0001323313,0.000176416],"category_scores_gemma":[0.001782362,0.0000976674,0.0000949633,0.0005101211,0.0002958431,0.0005291988,0.0001620571,0.0006558998,0.00001825629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751689,"about_ca_system_score_gemma":0.00005739264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003521087,"about_ca_topic_score_gemma":0.00001182465,"domain_scores_codex":[0.997749,0.000118809,0.0009795435,0.000199682,0.00073009,0.0002228778],"domain_scores_gemma":[0.9980814,0.0006797066,0.0005531728,0.0001908796,0.0004491728,0.00004565499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003536267,0.0001048985,0.5444992,0.00000558965,0.00009549811,0.00005474356,0.00068224,0.0004357727,0.0001120531,0.4384398,0.0001196207,0.01509694],"study_design_scores_gemma":[0.00786733,0.00147427,0.456815,0.0004077216,0.0003124953,0.0006724092,0.01006974,0.01945753,0.003360913,0.4966674,0.002259684,0.0006354825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975883,0.0002237884,0.01795516,0.0009114532,0.0003242158,0.0001467936,0.00000270006,0.00001842916,0.004534445],"genre_scores_gemma":[0.997297,0.00004264092,0.0024003,0.00003554245,0.00001377109,0.000008963464,5.754438e-7,0.000006969532,0.0001942424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08768419,"threshold_uncertainty_score":0.3982761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0852069907503191,"score_gpt":0.4054772663911178,"score_spread":0.3202702756407987,"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."}}