{"id":"W4224273248","doi":"10.1108/dlp-11-2021-0099","title":"The Miiyupimatisiiun Research Data Archives Project: putting OCAP<sup>®</sup> principles into practice","year":2022,"lang":"en","type":"article","venue":"Digital Library Perspectives","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"","keywords":"Operationalization; Originality; Context (archaeology); Indigenous; General partnership; Work (physics); Knowledge management; Sociology; Public relations; Political science; Computer science; Qualitative research; Engineering; Social science; Geography; Law","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.1095158,0.0003549821,0.0004773067,0.004373366,0.01307631,0.02019176,0.003911329,0.00230433,0.002861937],"category_scores_gemma":[0.09151094,0.0008016663,0.000410479,0.007920762,0.01645118,0.009599047,0.01743648,0.004557061,0.0006250535],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02346224,"about_ca_system_score_gemma":0.198579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2482132,"about_ca_topic_score_gemma":0.2734756,"domain_scores_codex":[0.9476418,0.03057822,0.004339243,0.003476823,0.01100122,0.002962673],"domain_scores_gemma":[0.8711765,0.05707318,0.006785091,0.0282307,0.02600453,0.01073003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006887163,0.0001241317,0.02391078,0.001098193,0.00004243236,0.0009630025,0.2393097,0.0009560798,0.001488015,0.3492243,0.03871797,0.3440965],"study_design_scores_gemma":[0.00002032109,0.00007237562,0.0163055,0.003150185,0.00003296615,0.0004177229,0.1791038,0.001144605,0.001543169,0.04045389,0.7576776,0.00007792545],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1872602,0.007556885,0.2583847,0.1684688,0.001968632,0.008001601,0.003102949,0.001503861,0.3637522],"genre_scores_gemma":[0.5218517,0.004111259,0.4204473,0.008637274,0.0002912371,0.006475716,0.002361468,0.0007671771,0.03505688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9960887,"threshold_uncertainty_score":0.5791818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109412180992661,"score_gpt":0.2987081877009331,"score_spread":0.1892960067082721,"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."}}