{"id":"W7133366146","doi":"","title":"Innover avec les communautés open source : le cas du logiciel Claroline","year":2018,"lang":"fr","type":"article","venue":"ORBi UMONS","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Open source; Publics; Context (archaeology); Event (particle physics)","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.006768748,0.0005170097,0.000399845,0.001615688,0.002798771,0.005880051,0.001433869,0.001739218,0.006642264],"category_scores_gemma":[0.02180227,0.0003896663,0.0006703588,0.001664633,0.00639805,0.01013368,0.005027899,0.002264782,0.000825309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003837805,"about_ca_system_score_gemma":0.002811558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01884563,"about_ca_topic_score_gemma":0.01777211,"domain_scores_codex":[0.994415,0.002163401,0.0002451329,0.001070943,0.001666521,0.0004389615],"domain_scores_gemma":[0.9785038,0.0126642,0.0021879,0.002279171,0.003504803,0.0008601131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002597438,0.0001414337,0.01849528,0.000321877,0.00007655127,0.001692388,0.0151099,0.01339884,0.005135955,0.8685622,0.003435759,0.07337005],"study_design_scores_gemma":[0.0001596913,0.0005229419,0.01603373,0.0005687806,0.000223387,0.002321986,0.01892829,0.1936258,0.01393427,0.5084992,0.2448894,0.0002925491],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5163879,0.001667152,0.3299427,0.011433,0.0001781955,0.0003037723,0.0002599689,0.001060995,0.1387663],"genre_scores_gemma":[0.9257411,0.0003606297,0.05144385,0.0005479318,0.00003824097,0.000180629,0.000133796,0.000198487,0.02135525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9985662,"threshold_uncertainty_score":0.03747183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504849087464961,"score_gpt":0.30789354608302,"score_spread":0.2574086373365239,"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."}}