{"id":"W4232239555","doi":"10.4000/books.pum.2490","title":"Conclusion","year":2015,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002616683,0.000620558,0.0003878403,0.001343371,0.003314131,0.007197934,0.001530607,0.002585104,0.1210814],"category_scores_gemma":[0.01193918,0.0001981887,0.000599968,0.001315538,0.002340288,0.005072181,0.003029302,0.002460712,0.03458087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003752899,"about_ca_system_score_gemma":0.003446261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031841,"about_ca_topic_score_gemma":0.01184343,"domain_scores_codex":[0.9974834,0.000549908,0.0001108722,0.0006409248,0.000885391,0.0003295733],"domain_scores_gemma":[0.9953544,0.001243395,0.0002158357,0.0005456687,0.002166959,0.0004736995],"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":[0.0003179251,0.00009777064,0.005893865,0.0009254554,0.00005531242,0.00106875,0.01930816,0.0005028361,0.001715991,0.4065086,0.3298808,0.2337246],"study_design_scores_gemma":[0.00001368668,0.00001889973,0.002760851,0.0005331621,0.00001619039,0.0003331083,0.007567232,0.000152624,0.000607879,0.03381972,0.9541621,0.00001448222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01950848,0.007264102,0.01999293,0.07078031,0.007270097,0.0001757055,0.002448685,0.0007275778,0.8718321],"genre_scores_gemma":[0.2950294,0.008858235,0.01718317,0.03333139,0.002814231,0.0003232482,0.004022805,0.001235423,0.637202],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8789186,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074248917326556,"score_gpt":0.2308276424360997,"score_spread":0.1234027507034441,"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."}}