{"id":"W7102408070","doi":"10.6084/m9.figshare.30473511.v1","title":"Additional file 1 of “…When it came to sensitive information, we made edits, and we took it back”: qualitatively exploring the role responsibilities taken on by Canadians who crowdfund on behalf of someone else from a privacy perspective","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Government (linguistics); Agency (philosophy); Negotiation; Work (physics); Confidentiality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005026572,0.0004972229,0.0006971894,0.0006603448,0.0004135843,0.001058967,0.0007703169,0.0001280625,0.1178389],"category_scores_gemma":[0.004825322,0.000483046,0.0001260916,0.0008368694,0.0005012376,0.004864654,0.0008555556,0.0004074727,0.0007424947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004855958,"about_ca_system_score_gemma":0.0007093435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0174093,"about_ca_topic_score_gemma":0.007337622,"domain_scores_codex":[0.9971086,0.00009874981,0.001003058,0.0007044869,0.0005670039,0.0005181352],"domain_scores_gemma":[0.9936347,0.00394218,0.0008358878,0.0005417308,0.0009787077,0.00006679236],"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":[0.001121356,0.0001480222,0.00001956366,0.000108021,0.0002252655,0.000006756098,0.05401021,0.00002479068,0.00008288278,0.003938621,0.926593,0.01372152],"study_design_scores_gemma":[0.0005928877,0.0001875103,0.001501903,0.004900078,0.00006322435,8.642418e-7,0.1791879,0.0001227184,0.001846823,0.003486912,0.8076935,0.0004156717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.132032,0.0002454391,0.00005587065,0.03448695,0.0003339394,0.003096493,0.6272575,0.000008075397,0.2024837],"genre_scores_gemma":[0.6442307,0.0002512481,0.006802956,0.0124913,0.001344343,0.002621926,0.03459032,0.0002439689,0.2974233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5926672,"threshold_uncertainty_score":0.999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812561709886225,"score_gpt":0.2698968656084888,"score_spread":0.2317712485096265,"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."}}