{"id":"W6930207749","doi":"10.5281/zenodo.11617308","title":"Institutional RDM Strategies: A Canadian Context","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Carleton University; University of Ottawa; Wilfrid Laurier University; Queen's University; Toronto Dementia Research Alliance","funders":"","keywords":"RDM; Context (archaeology); Alliance; Multidisciplinary approach; Discipline; Presentation (obstetrics); Data management plan; Work (physics)","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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.02634146,0.0006758135,0.0007800923,0.007221377,0.05800832,0.03237611,0.007170225,0.004030883,0.008722328],"category_scores_gemma":[0.03497744,0.0009549383,0.0008696031,0.0215283,0.02691292,0.00863387,0.01376005,0.006283557,0.0004700007],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.4355823,"about_ca_system_score_gemma":0.6077714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956663,"about_ca_topic_score_gemma":0.9973269,"domain_scores_codex":[0.956297,0.007932703,0.001703747,0.002838744,0.01311438,0.01811335],"domain_scores_gemma":[0.9500444,0.01101491,0.002954655,0.001805457,0.01865999,0.01552053],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001043346,0.0001561382,0.03051431,0.0008574268,0.00008230815,0.002256745,0.2479388,0.001547071,0.0006842306,0.5853468,0.06236313,0.06814861],"study_design_scores_gemma":[0.00002587416,0.00003827952,0.03146874,0.001224031,0.0000578561,0.0002963952,0.4280099,0.0008502029,0.0004797906,0.01390493,0.5233947,0.0002492962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3308278,0.01444054,0.004351581,0.2615868,0.000792489,0.0008205954,0.003043445,0.0002708883,0.3838659],"genre_scores_gemma":[0.9559147,0.007388151,0.004871785,0.01143729,0.00007316213,0.0001704764,0.0006431814,0.0001148047,0.01938646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9928298,"threshold_uncertainty_score":0.6546445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931715863655791,"score_gpt":0.2259381158813204,"score_spread":0.2066209572447625,"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."}}