{"id":"W7110468934","doi":"","title":"'We're not making it as easy as we might': issues and opportunities Open Science mandates present to Canadian ethics officers and librarians supporting human ethics","year":2025,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stewardship (theology); Autonomy; Function (biology); Situational ethics; Participant observation; Research ethics; Process (computing); Citizen journalism","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":["sts","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003716239,0.0001850688,0.0002499502,0.0009701933,0.002392118,0.004037719,0.004968908,0.0001406186,0.00002066115],"category_scores_gemma":[0.0009384272,0.0002288276,0.00002646127,0.0008014589,0.0007580739,0.01588091,0.008631064,0.0007000449,0.00001262063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169143,"about_ca_system_score_gemma":0.002189861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3217432,"about_ca_topic_score_gemma":0.834783,"domain_scores_codex":[0.9972528,0.0003559835,0.000158903,0.0007985948,0.0008584227,0.0005752827],"domain_scores_gemma":[0.9975774,0.0006175745,0.0002057892,0.0008787984,0.0003007383,0.0004197147],"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":[0.00004643944,0.00003990213,0.003177605,0.0004329206,0.00009503278,0.0004648442,0.01228133,0.0000529728,0.0002280253,0.9649404,0.01387957,0.004360946],"study_design_scores_gemma":[0.0005592415,0.0003059422,0.01697017,0.0008311527,0.00006527924,0.00001181893,0.1558757,0.003028141,0.0005366853,0.004456717,0.8168501,0.000509047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0788214,0.0002066071,0.005253641,0.8720673,0.0001497303,0.0008405751,0.00003776706,0.00007824621,0.04254468],"genre_scores_gemma":[0.9428399,0.004492111,0.02120692,0.006770394,0.00004126543,0.000002745371,0.00001840949,0.00002109379,0.02460712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9604837,"threshold_uncertainty_score":0.999387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.228572028288988,"score_gpt":0.3932629895494058,"score_spread":0.1646909612604177,"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."}}