{"id":"W2767986565","doi":"10.4000/books.pum.4129","title":"Chapitre 17. La thèse sous forme d’articles","year":2016,"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 du Québec à Montréal","funders":"","keywords":"Political 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001891632,0.0008009505,0.0005742473,0.003085761,0.004029098,0.01233583,0.0008984001,0.001869647,0.1314083],"category_scores_gemma":[0.009242469,0.0004298749,0.0007191457,0.00336555,0.003593526,0.006007985,0.003337333,0.00362012,0.04248925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004584915,"about_ca_system_score_gemma":0.006182065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008824191,"about_ca_topic_score_gemma":0.01620732,"domain_scores_codex":[0.9968055,0.0007461325,0.0001925973,0.0003458232,0.001636094,0.0002737814],"domain_scores_gemma":[0.9940294,0.00209759,0.0003715658,0.0006415306,0.002167883,0.0006920056],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004899891,0.00009099193,0.0003285585,0.001200011,0.00001770618,0.0005117208,0.009283443,0.0002255065,0.00198953,0.2966438,0.5797601,0.1098996],"study_design_scores_gemma":[0.000002007074,0.000009150933,0.0002002809,0.0003016651,0.000002066785,0.00009898581,0.0009529715,0.0000171454,0.0001293978,0.005429805,0.9928516,0.000004890505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002697619,0.01377267,0.009203815,0.02630123,0.01779704,0.0002913211,0.001156796,0.0003991115,0.9283804],"genre_scores_gemma":[0.0293198,0.01749251,0.006926026,0.006942502,0.009662409,0.0003743823,0.001816081,0.0008165298,0.9266497],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9981084,"threshold_uncertainty_score":0.4396046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05149860590154751,"score_gpt":0.2053478671721134,"score_spread":0.1538492612705659,"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."}}