{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02394931,0.0005805002,0.0005590256,0.00306213,0.001669927,0.00344329,0.001287057,0.001074473,0.00428414],"category_scores_gemma":[0.1124878,0.0006455031,0.002363042,0.003075364,0.003311688,0.005853029,0.004252676,0.001666964,0.0003663464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896388,"about_ca_system_score_gemma":0.00215266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005296313,"about_ca_topic_score_gemma":0.006051198,"domain_scores_codex":[0.9872558,0.006812856,0.001263435,0.0009767113,0.003282984,0.000408276],"domain_scores_gemma":[0.8472171,0.1184929,0.005788565,0.01210044,0.01471022,0.001690744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001083487,0.002755599,0.6719529,0.0011014,0.0007017009,0.0002142315,0.03339802,0.00474576,0.003228074,0.04218434,0.002516666,0.2361178],"study_design_scores_gemma":[0.0005180775,0.002954779,0.823302,0.001156738,0.001053149,0.0004245339,0.02611807,0.06316776,0.005319372,0.05899976,0.01665975,0.0003260734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740772,0.0002521641,0.01404023,0.000317406,0.00007242095,0.001289573,0.0002070851,0.00005590731,0.009687959],"genre_scores_gemma":[0.9751911,0.0001417061,0.02173134,0.00005959482,0.00002834197,0.002003235,0.0002306381,0.00003637043,0.0005778236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02394931,"threshold_uncertainty_score":0.1266575,"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."}}