{"id":"W7093104429","doi":"10.6084/m9.figshare.30403369.v2","title":"Human Clarity Institute – Focus & Distraction Survey 2025 (Public Dataset v1.0)","year":2025,"lang":"","type":"dataset","venue":"OPAL (Open@LaTrobe) (La Trobe University)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLARITY; Distraction; Consistency (knowledge bases); Focus (optics); Attribution; Theme (computing); Focus group","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":[0.002226905,0.0008738247,0.0007836919,0.003026853,0.0009297853,0.002102796,0.001986437,0.001473737,0.1402537],"category_scores_gemma":[0.02660618,0.0006267447,0.0009850003,0.006118016,0.000387874,0.001924248,0.003205404,0.001324571,0.1083887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600745,"about_ca_system_score_gemma":0.002961994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02999479,"about_ca_topic_score_gemma":0.04972506,"domain_scores_codex":[0.997712,0.0005511554,0.000446011,0.0004640472,0.000575553,0.0002512849],"domain_scores_gemma":[0.9869872,0.003758535,0.001368755,0.002077975,0.005253986,0.0005534703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004661745,0.00001559471,0.001386895,0.0006590451,0.00001376688,0.000006719955,0.00009317414,0.0000506538,0.00002959457,0.000316646,0.994207,0.003174223],"study_design_scores_gemma":[0.0002135106,0.00003319951,0.02886363,0.0009643529,0.00003398684,0.00003775637,0.0006256953,0.000150846,0.0001847967,0.001073461,0.9677614,0.00005727128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000255878,0.00003309692,0.0001313709,0.0000962456,0.00002543534,0.00007384433,0.9979026,0.0001759731,0.001305596],"genre_scores_gemma":[0.001672536,0.00005978476,0.0006739786,0.0001966661,0.00002371336,0.001867084,0.9926887,0.0001509918,0.002666461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1402537,"threshold_uncertainty_score":0.4691954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08756271679732527,"score_gpt":0.3554739706423735,"score_spread":0.2679112538450482,"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."}}