{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003518088,0.000146733,0.0003213352,0.0001624959,0.0004373897,0.0000567433,0.0002985176,0.00009589708,0.0001289285],"category_scores_gemma":[0.0009789068,0.0001279844,0.0001352624,0.0001668824,0.001670569,0.0002647929,0.0002130749,0.0002733184,0.00003453283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003893839,"about_ca_system_score_gemma":0.00008154879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000044453,"about_ca_topic_score_gemma":0.00001672504,"domain_scores_codex":[0.9984581,0.00007625862,0.0004484511,0.0001651465,0.0004856322,0.0003664331],"domain_scores_gemma":[0.999298,0.0003718925,0.00008550786,0.00008238739,0.0000403151,0.0001219475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003413439,0.003444212,0.09522144,0.000179886,0.001037119,0.0002403583,0.01007138,0.000007352422,0.0009179538,0.4660193,0.02501806,0.3975016],"study_design_scores_gemma":[0.003334473,0.0006542858,0.07869574,0.0005973771,0.0003782826,0.0000533611,0.06940573,0.00001039499,0.002097286,0.2815351,0.562317,0.0009209554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327872,0.02827937,0.001880648,0.03949173,0.005586428,0.0005026325,0.00002360457,0.0001109595,0.09133749],"genre_scores_gemma":[0.9963273,0.002390071,0.0001692582,0.0003785976,0.0001683525,0.000003458454,8.286646e-7,0.000006040642,0.0005561356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.537299,"threshold_uncertainty_score":0.6155281,"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."}}