{"id":"W3035483031","doi":"","title":"Reducing the capability gap of small business women with a disability with mobile devices and social media","year":2019,"lang":"en","type":"article","venue":"Victoria University Research Repository (Victoria University)","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Monash University; Canadian Immunization Research Network; University of Oxford","keywords":"Social media; Business; Internet privacy; Mobile device; Computer science; Public relations; World Wide Web; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088102,0.0002441248,0.000569238,0.0003512451,0.001016511,0.0000721547,0.0007620263,0.0002248445,0.00006406665],"category_scores_gemma":[0.0000532175,0.0002207791,0.00006958465,0.001837508,0.001140376,0.0005721732,0.0005214962,0.0005096584,0.0000176865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163556,"about_ca_system_score_gemma":0.0002917468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003673688,"about_ca_topic_score_gemma":0.001187902,"domain_scores_codex":[0.9978239,0.0002391953,0.0002923506,0.0008140603,0.0002328315,0.0005976488],"domain_scores_gemma":[0.9978124,0.0004252041,0.0003580696,0.0006674968,0.0005912494,0.0001455173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004640591,0.0005923749,0.8584514,0.0006391188,0.0002665112,0.0001199751,0.03082156,0.0001029808,0.003661258,0.1002085,0.0001472501,0.0003485325],"study_design_scores_gemma":[0.00394737,0.001270509,0.6014855,0.0001993702,0.00006999229,0.00002423159,0.03263486,0.0001116825,0.0007865448,0.0008913105,0.3575703,0.001008292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987469,0.00009989941,0.00007940034,0.0001303874,0.0004632701,0.0006334237,0.00007938613,0.00003940157,0.01100582],"genre_scores_gemma":[0.9978899,0.00009044418,0.0001254005,0.000004174447,0.0001957725,0.000001634432,0.00000853447,0.00002115656,0.001662957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3574231,"threshold_uncertainty_score":0.9003109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656056119637968,"score_gpt":0.2113698890261172,"score_spread":0.1848093278297375,"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."}}