{"id":"W2943870617","doi":"10.15353/cjo.71.653","title":"Canadians and Screen Time","year":2009,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002766668,0.0004459898,0.001037921,0.006493614,0.0006126887,0.001016791,0.001436109,0.0004271021,0.001420103],"category_scores_gemma":[0.001559688,0.000448432,0.0004635503,0.003154097,0.0008989797,0.001568015,0.00001359285,0.001131115,0.00005509243],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767273,"about_ca_system_score_gemma":0.01974567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05227676,"about_ca_topic_score_gemma":0.09662858,"domain_scores_codex":[0.9952243,0.0002387157,0.00135228,0.0002980149,0.001049053,0.001837655],"domain_scores_gemma":[0.983391,0.0002540628,0.001087702,0.0002979102,0.001498354,0.01347097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006135257,0.00005464438,0.8102747,0.00003102121,0.0004796018,0.005937735,0.00901988,0.00008690855,0.0000749594,0.0003022242,0.08868134,0.08499565],"study_design_scores_gemma":[0.001235017,0.0006012829,0.6074596,0.0004547985,0.0001855411,0.001923787,0.004043899,0.00001344245,0.00003886752,0.00004120564,0.3833045,0.0006980085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897982,0.006665231,0.00009958642,0.01215437,0.001754248,0.0002339259,0.0002710908,0.000009999975,0.08901336],"genre_scores_gemma":[0.9876798,0.0003443241,0.001173421,0.00197211,0.001512992,4.334746e-7,0.000006323392,0.00005266134,0.007257979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2946232,"threshold_uncertainty_score":0.9997967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103681523339383,"score_gpt":0.2995149364675288,"score_spread":0.2891467841335905,"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."}}