{"id":"W1970852618","doi":"10.1109/globalsip.2014.7032272","title":"Positive developmental video classification for children","year":2014,"lang":"en","type":"article","venue":"","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Benchmark (surveying); Set (abstract data type); Artificial intelligence; Cognition; Machine learning; Information retrieval; Psychology","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":[0.001434068,0.0006977112,0.0003414547,0.002633739,0.0003660779,0.001098369,0.0006643111,0.000544413,0.002500643],"category_scores_gemma":[0.008271922,0.0001610868,0.0005280444,0.0008717273,0.0003195781,0.001017738,0.0007171001,0.0007863441,0.000997217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154547,"about_ca_system_score_gemma":0.0005850304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006201859,"about_ca_topic_score_gemma":0.006350294,"domain_scores_codex":[0.9990313,0.0001657725,0.000099877,0.0002613352,0.0003405572,0.0001010173],"domain_scores_gemma":[0.9966542,0.001169482,0.0005212211,0.0002763058,0.001191083,0.000187744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006396073,0.0003816712,0.2236432,0.0002603006,0.000085253,0.0004295046,0.0005896133,0.008098957,0.0167788,0.003140127,0.005788682,0.7401643],"study_design_scores_gemma":[0.00006338423,0.001086651,0.416454,0.000369339,0.0001754167,0.001880264,0.002030228,0.4906795,0.0545279,0.01049663,0.02209729,0.0001393695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7015243,0.001015266,0.2676734,0.0006794514,0.0001854534,0.001057447,0.005418214,0.0030609,0.01938558],"genre_scores_gemma":[0.8448904,0.0002893872,0.1470792,0.00007071518,0.00004626337,0.000482516,0.004167889,0.00008505121,0.002888751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006201859,"threshold_uncertainty_score":0.01233155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122365486539624,"score_gpt":0.2808799658608654,"score_spread":0.2596563109954692,"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."}}