{"id":"W4410919488","doi":"10.1145/3706370.3727896","title":"Livras: An App to Help Women at Risk","year":2025,"lang":"en","type":"article","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003618805,0.00009592225,0.000106518,0.0001717619,0.0002599761,0.0001781863,0.001751431,0.00003585196,0.00007459376],"category_scores_gemma":[0.00006362879,0.00008790984,0.00001797303,0.0004905388,0.0000239287,0.0002605132,0.001747768,0.00009986472,0.0003934694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001672,"about_ca_system_score_gemma":0.00007862584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001636859,"about_ca_topic_score_gemma":0.0001337608,"domain_scores_codex":[0.9991368,0.000106996,0.0001341396,0.0001940678,0.0001400082,0.0002879784],"domain_scores_gemma":[0.998596,0.0001355774,0.00002272364,0.001102493,0.00006053763,0.00008270345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003155063,0.0002614841,0.01868576,0.00006965348,0.0001095712,0.00001481067,0.0892833,0.0004525538,0.0003928166,0.5402114,0.1469661,0.2035209],"study_design_scores_gemma":[0.0007407389,0.0005558082,0.07925795,0.0001484808,0.000007736056,0.00001335086,0.00469033,0.02338394,0.01575351,0.08704089,0.7872298,0.001177481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5130954,0.00003669428,0.389351,0.002467893,0.0006614817,0.0001536937,0.000001379586,0.00075987,0.09347258],"genre_scores_gemma":[0.7241673,0.00002603391,0.1839541,0.008423138,0.00004965077,0.00008707983,0.000001697063,0.00001053431,0.08328042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6402636,"threshold_uncertainty_score":0.5057384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297839146591972,"score_gpt":0.256887365765836,"score_spread":0.2439089742999163,"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."}}