{"id":"W2967088215","doi":"","title":"Limiter le temps-écrans des enfants favorise leur développement langagier","year":2018,"lang":"fr","type":"article","venue":"Archipelago (University of Quebec in Montreal)","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Psychology; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002840919,0.0004463992,0.0003655266,0.0005313648,0.0004573192,0.0009613187,0.0005568686,0.0007658934,0.006427393],"category_scores_gemma":[0.01191439,0.0001690124,0.0007488054,0.0004143916,0.0003253416,0.0008952087,0.0009082101,0.0007805356,0.000970749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007804441,"about_ca_system_score_gemma":0.001577641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009189712,"about_ca_topic_score_gemma":0.01095938,"domain_scores_codex":[0.9984751,0.0005445677,0.0001249041,0.000261405,0.0003183908,0.0002755905],"domain_scores_gemma":[0.9938748,0.002528491,0.001458702,0.0003032909,0.001101556,0.0007331948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003072642,0.001014871,0.6864079,0.001399443,0.0004337779,0.001339948,0.01186868,0.0008458825,0.0215144,0.001782971,0.006242132,0.2640775],"study_design_scores_gemma":[0.00006214537,0.002511986,0.9684294,0.0005747817,0.0002688981,0.0007322336,0.003671008,0.0003876677,0.003889553,0.0006786678,0.01874389,0.00004974337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796637,0.005876907,0.002470378,0.001857745,0.0001654517,0.0001294227,0.0006935971,0.0001103085,0.009032544],"genre_scores_gemma":[0.9859116,0.002931353,0.004114592,0.0004306822,0.00009999113,0.0004641666,0.0006075104,0.00003382458,0.005406289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009189712,"threshold_uncertainty_score":0.02150184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583317687234851,"score_gpt":0.2458759682669044,"score_spread":0.2200427913945559,"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."}}