{"id":"W4399829763","doi":"10.32920/26064034.v1","title":"Gaze: A Digital Tool Designed for the LGBTQ+ Community to Confidently Navigate and Interact in Public Spaces","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gaze; Computer science; Human–computer interaction; World Wide Web; Internet privacy; Sociology; Computer vision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001363573,0.001329968,0.0003868933,0.002185325,0.002256993,0.00265735,0.001523661,0.002254933,0.04556775],"category_scores_gemma":[0.005602572,0.0004058503,0.0007921213,0.0008403975,0.001708084,0.004088316,0.005008866,0.001326432,0.006764508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083591,"about_ca_system_score_gemma":0.001503754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006725846,"about_ca_topic_score_gemma":0.01591796,"domain_scores_codex":[0.9993249,0.0002735672,0.00002998017,0.00007940186,0.0001858578,0.0001063111],"domain_scores_gemma":[0.9974971,0.001375639,0.0000931763,0.000317783,0.0002705191,0.0004456666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008206601,0.000685279,0.00622085,0.001912027,0.00007855716,0.002286737,0.03888367,0.001842727,0.03108656,0.02461324,0.4264041,0.4651657],"study_design_scores_gemma":[0.0003301529,0.000766735,0.01152911,0.0009555868,0.0001347002,0.001849887,0.0141869,0.007222623,0.008884381,0.01068728,0.9431413,0.0003113142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1424822,0.001878241,0.4453706,0.009181913,0.002246878,0.00418944,0.008078466,0.08410773,0.3024646],"genre_scores_gemma":[0.4012647,0.002352075,0.3514864,0.003103956,0.0006368181,0.005466897,0.00579234,0.005004379,0.2248923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04556775,"threshold_uncertainty_score":0.1524393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06046567494552942,"score_gpt":0.3302122218201871,"score_spread":0.2697465468746577,"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."}}