{"id":"W7093104429","doi":"10.6084/m9.figshare.30403369.v2","title":"Human Clarity Institute – Focus &amp; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity"],"category_scores_codex":[0.005930858,0.0015664,0.00251747,0.002142095,0.009067875,0.007586641,0.01700217,0.001397106,0.003946217],"category_scores_gemma":[0.001237479,0.001877171,0.0008342909,0.006074469,0.002296914,0.00992911,0.01552625,0.003448183,0.0004473998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458399,"about_ca_system_score_gemma":0.003516199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.284031,"about_ca_topic_score_gemma":0.7669879,"domain_scores_codex":[0.9848759,0.006380659,0.001538204,0.003563072,0.001548821,0.002093302],"domain_scores_gemma":[0.9911706,0.001015942,0.002005091,0.003970909,0.0005309926,0.00130646],"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":[0.0002412365,0.001611129,0.001986101,0.0001508369,0.001118942,0.0003223955,0.0001624426,0.00005729269,0.00002770516,0.02870143,0.9615806,0.004039867],"study_design_scores_gemma":[0.00208023,0.0001290574,0.007828285,0.0004132481,0.001702723,0.000006028409,0.0005884066,0.00002362368,0.000001602975,0.0003698936,0.9850467,0.001810209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000575892,0.00008643341,0.001168357,0.001317533,0.001417868,0.001563762,0.9293657,0.00007610731,0.06442834],"genre_scores_gemma":[0.01130954,0.001810057,0.00046053,0.000237325,0.000483982,0.000007808741,0.9526493,0.0000385514,0.0330029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4829569,"threshold_uncertainty_score":0.9998993,"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."}}