{"id":"W2014190070","doi":"10.4000/itineraires.2276","title":"Écriveuses du Web : abondance et remix","year":2015,"lang":"fr","type":"article","venue":"Itinéraires","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.001922583,0.0006382145,0.0002533839,0.001465215,0.004762101,0.008411386,0.000741931,0.00223005,0.0131958],"category_scores_gemma":[0.00574681,0.0003502915,0.0002945699,0.001507882,0.0105375,0.01028343,0.004931504,0.002235615,0.002210989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000892,"about_ca_system_score_gemma":0.001244073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005395915,"about_ca_topic_score_gemma":0.006085148,"domain_scores_codex":[0.9973423,0.001391074,0.00008764223,0.0003160395,0.0006140085,0.0002490229],"domain_scores_gemma":[0.997215,0.001349371,0.0003000343,0.0004151453,0.00048016,0.0002402672],"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":[0.00006107486,0.00004242616,0.003061249,0.0001650544,0.00001238735,0.0012309,0.1585259,0.0002812258,0.007124417,0.7606989,0.005562054,0.06323435],"study_design_scores_gemma":[0.00001377545,0.00006177993,0.004217749,0.0004832103,0.00002716753,0.00265286,0.08655155,0.001477448,0.006688182,0.08953132,0.8082344,0.00006057599],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1807736,0.002763545,0.0880045,0.009370591,0.0004419043,0.00009678181,0.0001115334,0.0004015897,0.7180359],"genre_scores_gemma":[0.8061232,0.001708794,0.0198492,0.001055554,0.0001408487,0.0001264509,0.00008910247,0.0003217011,0.1705852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0131958,"threshold_uncertainty_score":0.04414439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3877067408780009,"score_gpt":0.340530216081946,"score_spread":0.04717652479605489,"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."}}