{"id":"W4407896083","doi":"10.25071/2292-4736/40394","title":"Nun Cho Ga (Big Animal Baby)","year":2025,"lang":"en","type":"article","venue":"UnderCurrents Journal of Critical Environmental Studies","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology","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":[0.0003179653,0.0004412643,0.0002574334,0.0003370794,0.00396242,0.0009070625,0.0006347746,0.0009899592,0.1108765],"category_scores_gemma":[0.0007185028,0.0002283723,0.0001303505,0.0002738736,0.000692853,0.0008495508,0.001887929,0.001229775,0.03552044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445069,"about_ca_system_score_gemma":0.002466058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03935334,"about_ca_topic_score_gemma":0.1321137,"domain_scores_codex":[0.9997415,0.00002965486,0.000007099535,0.00008477398,0.00005727245,0.00007956119],"domain_scores_gemma":[0.9994521,0.00002125579,0.00002801635,0.00001674968,0.00009344139,0.0003885076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001860349,0.00006407736,0.008229799,0.0003136385,0.000008707495,0.004074378,0.006423736,0.00003048103,0.002838712,0.008800564,0.8416548,0.1273751],"study_design_scores_gemma":[0.000002996248,0.00003600622,0.004006923,0.00005146206,0.000002423182,0.001208258,0.00264493,0.00001172032,0.0002560936,0.0001934252,0.9915752,0.0000105817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08789486,0.03048108,0.001961692,0.090776,0.02182723,0.0003026008,0.003429531,0.00117863,0.7621483],"genre_scores_gemma":[0.06840383,0.004062217,0.001122845,0.01074587,0.0003142177,0.00007243759,0.0003709562,0.0001269478,0.9147807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1108765,"threshold_uncertainty_score":0.3709189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04944183712603748,"score_gpt":0.3701276853573507,"score_spread":0.3206858482313132,"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."}}