{"id":"W2530305178","doi":"","title":"IT Affordances in Online Social Commerce: Conceptualization Validation and Scale Development","year":2016,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affordance; Conceptualization; Scale (ratio); Computer science; Data science; Social commerce; Knowledge management; Human–computer interaction; World Wide Web; Social media; Artificial intelligence; Geography","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":[0.0008773248,0.00014152,0.0002714207,0.0004682904,0.0001696509,0.0002281354,0.0002864818,0.0001271559,0.0001041981],"category_scores_gemma":[0.0002707443,0.00009363109,0.00002374795,0.00053673,0.0002163484,0.001379374,0.00006244882,0.00009254923,0.0004136134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008403288,"about_ca_system_score_gemma":0.00009698082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003055457,"about_ca_topic_score_gemma":0.0000425807,"domain_scores_codex":[0.9977545,0.0001718802,0.0009895975,0.0002071024,0.0006977446,0.0001791691],"domain_scores_gemma":[0.9985707,0.0001886745,0.0006053182,0.0002054557,0.0003728615,0.00005694008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008855514,0.0001322026,0.2458007,0.0000177023,0.00001332509,9.849562e-7,0.01911929,0.00006110421,0.0004097733,0.0839624,0.005330454,0.6450636],"study_design_scores_gemma":[0.003064811,0.0002458566,0.6808863,0.0003580309,0.00001039838,0.00002577137,0.09100516,0.003398187,0.001010378,0.001247946,0.2179306,0.0008166162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332085,0.00001028441,0.05623704,0.005397397,0.0003184117,0.0003586383,0.00004368788,0.0001136963,0.004312302],"genre_scores_gemma":[0.9985095,0.00002482876,0.0004311011,0.0005330034,0.00001967577,0.0000492306,0.0000376054,0.000004150178,0.0003909391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6442469,"threshold_uncertainty_score":0.5316302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556418706571688,"score_gpt":0.393098748843278,"score_spread":0.2374568781861092,"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."}}