{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.003849486,0.0002487716,0.0001969523,0.0004184521,0.00237935,0.01595524,0.005489986,0.0001116799,0.0107226],"category_scores_gemma":[0.0007713437,0.0002885811,0.00006882299,0.001166078,0.0003325214,0.01877388,0.00443063,0.0005151532,0.011493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464222,"about_ca_system_score_gemma":0.00005965443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00511989,"about_ca_topic_score_gemma":0.000215763,"domain_scores_codex":[0.9951527,0.001461887,0.0003569315,0.0008598535,0.0009512544,0.001217437],"domain_scores_gemma":[0.9970113,0.0001188006,0.0002075291,0.001195121,0.0009016254,0.0005656244],"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":[0.0001092108,0.0004408842,0.0004604967,0.002326651,0.0003509179,0.0002914312,0.01867681,0.001407612,0.00193581,0.5764025,0.106298,0.2912996],"study_design_scores_gemma":[0.0005296608,0.0003804789,0.007514374,0.0001946069,0.0000250269,0.0002825248,0.00158599,0.007025767,0.0002499673,0.001430572,0.9804814,0.0002995765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3310364,0.004756753,0.1035269,0.03202147,0.001141935,0.002971745,0.0008926493,0.001747453,0.5219047],"genre_scores_gemma":[0.7791554,0.009534523,0.0122428,0.00168333,0.0006743353,5.270063e-7,0.001989651,0.002417775,0.1923017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8741834,"threshold_uncertainty_score":0.9999566,"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."}}