{"id":"W4299343232","doi":"","title":"La représentation médiatique du leurre d’enfants à l’aide des nouvelles technologies: une mise en mots et en maux","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002387658,0.0004508119,0.0002288595,0.001885204,0.004578941,0.009313813,0.0005320158,0.001605126,0.006212239],"category_scores_gemma":[0.007153611,0.0002291656,0.0001709608,0.001729913,0.009124628,0.0037922,0.00218899,0.002082094,0.0006174527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01422506,"about_ca_system_score_gemma":0.003746914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1516961,"about_ca_topic_score_gemma":0.1520101,"domain_scores_codex":[0.9980745,0.0008494958,0.00006401854,0.0001383107,0.0006360925,0.0002375696],"domain_scores_gemma":[0.9921048,0.004822921,0.001392377,0.00037319,0.0008254661,0.0004812454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001201364,0.00002576655,0.01057022,0.0005448188,0.0000208779,0.002143884,0.6378173,0.000212836,0.003529841,0.2367306,0.03284211,0.07544173],"study_design_scores_gemma":[0.0000100327,0.00004359541,0.02073938,0.0006133438,0.00002534936,0.001523809,0.1486094,0.0003373848,0.002174273,0.004107098,0.821763,0.00005344192],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4390369,0.05281742,0.005045376,0.1192673,0.002084839,0.00005186544,0.000793514,0.0002095496,0.3806933],"genre_scores_gemma":[0.9651762,0.009295481,0.0007708694,0.001302579,0.0008077629,0.00002016289,0.00007598574,0.00004953039,0.0225015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1516961,"threshold_uncertainty_score":0.3016263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2037303348345133,"score_gpt":0.5230577851570825,"score_spread":0.3193274503225692,"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."}}