{"id":"W6931263973","doi":"10.5281/zenodo.4064171","title":"Plan de gestion des données modèle #1: Sciences Humaines Numériques","year":2020,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Plan (archaeology); Knowledge base; Public culture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.008474855,0.001820733,0.001484538,0.004676355,0.00145947,0.01002836,0.00394079,0.002285609,0.02890843],"category_scores_gemma":[0.02221984,0.001552849,0.003475404,0.004340739,0.001580795,0.006124554,0.004492302,0.003195515,0.012037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004628556,"about_ca_system_score_gemma":0.01298694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05660997,"about_ca_topic_score_gemma":0.03840271,"domain_scores_codex":[0.9943403,0.001887604,0.0004606806,0.0008378488,0.002243564,0.0002300236],"domain_scores_gemma":[0.9886147,0.005006561,0.0003760597,0.002619948,0.0030655,0.0003173502],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005975661,0.000194123,0.004912218,0.001949157,0.0003149153,0.000270034,0.002170217,0.1952161,0.006053543,0.3586649,0.07198627,0.3576709],"study_design_scores_gemma":[0.0002030292,0.0001132286,0.001636092,0.000610795,0.0001154445,0.0001131724,0.000662534,0.3534152,0.01175123,0.1470787,0.4841402,0.0001603525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004498734,0.0005527311,0.9293639,0.002512121,0.0001857406,0.0007462013,0.01888205,0.0155134,0.02774511],"genre_scores_gemma":[0.03871189,0.001015049,0.9168235,0.0003089337,0.00006476942,0.0019403,0.0240842,0.002660161,0.01439105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9960592,"threshold_uncertainty_score":0.112561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139305906378765,"score_gpt":0.2554689994547783,"score_spread":0.1161630930760133,"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."}}