{"id":"W6936378278","doi":"10.58079/pqs0","title":"Nouvelles collaborations scientifiques autour des infrastructures du numérique","year":2016,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Field (mathematics); Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.01595877,0.0005177699,0.000515633,0.003217682,0.01221266,0.01130572,0.001547877,0.002433816,0.01682589],"category_scores_gemma":[0.03387263,0.0004386019,0.0006690214,0.004469867,0.0119806,0.007697654,0.01330247,0.003055877,0.00155777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02421152,"about_ca_system_score_gemma":0.0351063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1027553,"about_ca_topic_score_gemma":0.1752686,"domain_scores_codex":[0.9753887,0.01456607,0.0005572422,0.001906378,0.005161358,0.002420326],"domain_scores_gemma":[0.9624565,0.01706809,0.003366498,0.00519659,0.006587669,0.005324697],"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":[0.0002252312,0.0001986716,0.0283365,0.001163005,0.0001893851,0.0007386762,0.2078432,0.001577668,0.002633411,0.5040627,0.0291042,0.2239275],"study_design_scores_gemma":[0.00006035217,0.0001484573,0.04834299,0.001455103,0.00008323025,0.0003131076,0.1125458,0.0009926019,0.001206154,0.04357938,0.7911989,0.00007392979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3244309,0.008192103,0.01940478,0.05933425,0.0009536226,0.0002352397,0.0004461783,0.000270923,0.5867319],"genre_scores_gemma":[0.9483756,0.00270271,0.005353795,0.001709334,0.0001459759,0.0001953482,0.0001493372,0.00008535204,0.04128258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1027553,"threshold_uncertainty_score":0.2043144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08387613085721422,"score_gpt":0.2755671873005318,"score_spread":0.1916910564433175,"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."}}