{"id":"W2740552658","doi":"","title":"Modelling the Impact of Perceived Connectivity on the Intention to Use Social Media: Discovering Mediating Effects and Unobserved Heterogeneity","year":2015,"lang":"en","type":"preprint","venue":"Research Online (University of Wollongong)","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Path analysis (statistics); Psychology; Sample (material); Test (biology); Computer science; Post hoc; Structural equation modeling; Social psychology; Applied psychology; World Wide Web; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009979735,0.001123893,0.0009202681,0.001679407,0.0008053619,0.002076272,0.001549381,0.001328712,0.003106308],"category_scores_gemma":[0.02916649,0.0007223045,0.002135443,0.001585016,0.001382464,0.001984657,0.002364578,0.00169241,0.000177169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187902,"about_ca_system_score_gemma":0.001840515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02378679,"about_ca_topic_score_gemma":0.01267814,"domain_scores_codex":[0.9958354,0.00290216,0.00016205,0.0005865527,0.0001743788,0.0003394478],"domain_scores_gemma":[0.9526652,0.04304253,0.001834447,0.001378619,0.0006088912,0.0004702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005569022,0.001151116,0.8634175,0.0002304199,0.001263902,0.0005451937,0.005798018,0.07667682,0.0008633898,0.01975006,0.0003369845,0.02940968],"study_design_scores_gemma":[0.000192247,0.001040074,0.173251,0.0001307551,0.001085354,0.0001519077,0.00398342,0.7905402,0.001028121,0.02738887,0.001117198,0.00009102288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978083,0.0000707916,0.02076815,0.0001970488,0.000007684125,0.0001224076,0.0001835158,0.0000326839,0.0005347314],"genre_scores_gemma":[0.9943584,0.00004443115,0.005020787,0.0000118307,0.000005667597,0.0001452447,0.0001067343,0.000005399232,0.00030155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02378679,"threshold_uncertainty_score":0.05277854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4460804429263627,"score_gpt":0.4569459053583872,"score_spread":0.01086546243202446,"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."}}