{"id":"W805245368","doi":"","title":"Implantation de Metalib : par où commencer? Les principales étapes de l’implantation à l’université de Montréal.","year":2006,"lang":"fr","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004018154,0.0007106518,0.0005366916,0.001181527,0.003269122,0.00373662,0.001774781,0.001942003,0.020493],"category_scores_gemma":[0.01266501,0.0005463749,0.0009495844,0.00146936,0.002445854,0.001461195,0.001961878,0.002091715,0.004100151],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007327643,"about_ca_system_score_gemma":0.009299169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1859057,"about_ca_topic_score_gemma":0.3589741,"domain_scores_codex":[0.9972191,0.0003548747,0.0001330842,0.000304184,0.001216525,0.0007722416],"domain_scores_gemma":[0.9965577,0.0007228045,0.0003886714,0.0004055237,0.001151874,0.0007733834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003102976,0.0006239743,0.06097623,0.001883564,0.0003483508,0.008519524,0.01259814,0.001441746,0.06401403,0.02327556,0.1022467,0.7209691],"study_design_scores_gemma":[0.0001619849,0.001903924,0.09985639,0.001280104,0.000355662,0.008781276,0.005677036,0.0006084889,0.0467033,0.002351063,0.8320744,0.0002464222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5727249,0.09743787,0.03311533,0.04756686,0.008415383,0.001384216,0.00473464,0.0019144,0.2327063],"genre_scores_gemma":[0.8017128,0.01998216,0.01913193,0.006784967,0.0009115346,0.0004402739,0.001472002,0.0007702848,0.1487941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9962634,"threshold_uncertainty_score":0.3696472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063059514222143,"score_gpt":0.2014303746352379,"score_spread":0.1707997794930165,"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."}}