{"id":"W6912049966","doi":"10.5281/zenodo.2542157","title":"Cadre canadien des services de données nationaux Document de travail","year":2019,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Research & Development Corporation; Centennial College; Portage College; University of British Columbia","funders":"","keywords":"Context (archaeology); Field (mathematics); Politics; Order (exchange)","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"],"consensus_categories":[],"category_scores_codex":[0.01414053,0.001240803,0.001648821,0.006807668,0.004165433,0.02157294,0.003141315,0.004746603,0.1037193],"category_scores_gemma":[0.03531291,0.001356998,0.001621372,0.009296687,0.002020448,0.01234116,0.008619951,0.004361171,0.08699093],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006409214,"about_ca_system_score_gemma":0.01568015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09200369,"about_ca_topic_score_gemma":0.05629021,"domain_scores_codex":[0.9857863,0.003408108,0.001483324,0.001731839,0.006710768,0.0008796864],"domain_scores_gemma":[0.9757633,0.006077459,0.0006545387,0.007772643,0.007768549,0.001963465],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005256144,0.0001524463,0.003240759,0.001333894,0.0001358751,0.001515747,0.006715847,0.001911053,0.007950479,0.1650232,0.4981109,0.3133841],"study_design_scores_gemma":[0.00001414414,0.00001219971,0.0003753893,0.0001927942,0.00001255688,0.0002991154,0.0005177732,0.001549416,0.001101305,0.00404418,0.9918473,0.00003380297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01176144,0.01173626,0.3866036,0.03446397,0.003846932,0.002234915,0.04162364,0.06623524,0.4414941],"genre_scores_gemma":[0.06652658,0.01437506,0.2351658,0.006276961,0.001202596,0.00143345,0.07616975,0.01858202,0.5802678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9935908,"threshold_uncertainty_score":0.3469756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779115374681244,"score_gpt":0.2791861163098651,"score_spread":0.2213949625630527,"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."}}