{"id":"W2529480627","doi":"","title":"Médias et mouvements sociaux : pratiques de mobilisations collectives","year":2015,"lang":"fr","type":"preprint","venue":"R-libre (Université Téluq)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université TÉLUQ","funders":"","keywords":"Humanities; Political science; Appropriation; Art; Philosophy","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004047774,0.0006033944,0.0005819688,0.0001319528,0.0006095581,0.002008826,0.001385941,0.0005352272,0.0001940422],"category_scores_gemma":[0.0001405534,0.0006052126,0.0003450115,0.000848515,0.0002959242,0.005522159,0.002561409,0.000702569,0.0001802237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546019,"about_ca_system_score_gemma":0.003489681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003994463,"about_ca_topic_score_gemma":0.001505917,"domain_scores_codex":[0.9968891,0.0004351221,0.0003544607,0.000965952,0.0005994281,0.0007559273],"domain_scores_gemma":[0.9970111,0.0002043789,0.0004372315,0.0007867522,0.0008261105,0.0007343834],"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":[0.0000812206,0.001011036,0.0006372209,0.0001644379,0.0007403338,0.0005096352,0.1355049,0.005317518,0.0007184354,0.5132371,0.2502216,0.09185654],"study_design_scores_gemma":[0.002299794,0.0009129409,0.2360332,0.0007062215,0.000318249,0.0002122955,0.009152436,0.03160843,0.001044855,0.1382411,0.5771667,0.002303735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6423702,0.00225334,0.01970354,0.03194157,0.001883911,0.001775241,0.0007383936,0.0007826506,0.2985512],"genre_scores_gemma":[0.6536428,0.0008764689,0.01035996,0.00303886,0.000423139,0.00003726485,0.0004795236,0.000086687,0.3310553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3749959,"threshold_uncertainty_score":0.9996399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3529206400586534,"score_gpt":0.347845497094389,"score_spread":0.005075142964264423,"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."}}