{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001326358,0.0004515316,0.0005165383,0.0002204461,0.001770736,0.001722175,0.005005646,0.0003855276,0.001294575],"category_scores_gemma":[0.0005535797,0.0004830132,0.0001341182,0.002569776,0.00135809,0.001712975,0.005753259,0.0008895605,0.002623869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070456,"about_ca_system_score_gemma":0.0007750708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01562212,"about_ca_topic_score_gemma":0.004029042,"domain_scores_codex":[0.9965936,0.0004126949,0.0007737014,0.0008251087,0.0004632456,0.0009316664],"domain_scores_gemma":[0.9957402,0.0004163186,0.0003767687,0.002215424,0.001019797,0.0002315047],"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":[0.00003319749,0.001386327,0.02125489,0.00004479519,0.0001756483,0.0001802489,0.02105578,0.0003435021,0.000534977,0.4368272,0.3661078,0.1520556],"study_design_scores_gemma":[0.0009043665,0.0003273848,0.02338839,0.0001548193,0.00003540012,0.0003738849,0.0003625175,0.02136255,0.0007268441,0.005712542,0.9459917,0.0006596138],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06906458,0.0006281501,0.6573448,0.1877454,0.002937045,0.0009463087,0.00009586816,0.0004451248,0.08079268],"genre_scores_gemma":[0.863258,0.00006188403,0.05388209,0.007010811,0.001247167,0.00005365231,0.00003770839,0.00008885356,0.07435985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7941934,"threshold_uncertainty_score":0.9997622,"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."}}