{"id":"W4233396350","doi":"10.32920/ryerson.14647044.v1","title":"The diffusion of text messaging: a comparative perspective","year":2021,"lang":"en","type":"preprint","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Text messaging; Context (archaeology); Perception; Service (business); Innovation diffusion; Diffusion; Public relations; Sociology; World Wide Web; Psychology; Knowledge management; Computer science; Political science; Marketing; Business; Geography","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":[0.003466965,0.0002781426,0.0003900511,0.00582405,0.003990963,0.007125597,0.0008966992,0.001442695,0.005060856],"category_scores_gemma":[0.009018532,0.0001871776,0.0002806915,0.009199486,0.004340282,0.006735662,0.001852648,0.001078265,0.0002071226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02422128,"about_ca_system_score_gemma":0.009999545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4092594,"about_ca_topic_score_gemma":0.3238627,"domain_scores_codex":[0.9966043,0.001598887,0.0001182966,0.0002052875,0.0008819035,0.0005912869],"domain_scores_gemma":[0.9924405,0.004384583,0.0005027421,0.0002282908,0.00211016,0.0003337973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001484812,0.0001216718,0.01939609,0.001063108,0.0000407391,0.001119351,0.2043361,0.0009064429,0.00156232,0.6488757,0.004193153,0.1182369],"study_design_scores_gemma":[0.00002925891,0.0002350125,0.1033291,0.002160954,0.0000862376,0.001039052,0.4647608,0.001809606,0.002048108,0.02203921,0.4023988,0.0000638737],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3852015,0.03289076,0.003785324,0.01697882,0.0001810087,0.0001151044,0.0005012014,0.00003610213,0.5603101],"genre_scores_gemma":[0.9770535,0.01395974,0.001035846,0.0003883547,0.00004779534,0.00004254271,0.000116214,0.00001546871,0.007340644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4092594,"threshold_uncertainty_score":0.8137546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249916406544416,"score_gpt":0.2913288193232798,"score_spread":0.2663371786688382,"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."}}