{"id":"W4409603181","doi":"10.61091/jcmcc127b-116","title":"Reading Bimodal Emotion Recognition and Psychological Analysis on the Big Data Blockchain Network Platform","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blockchain; Reading (process); Big data; Computer science; Emotion recognition; Psychology; Data science; Artificial intelligence; Computer security; Data mining; Linguistics; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.003386101,0.0002456173,0.0006216231,0.0003807103,0.0004451052,0.000202093,0.0003968763,0.0002518421,0.00003267762],"category_scores_gemma":[0.0005791187,0.0001763449,0.0001536302,0.0008960742,0.0001088919,0.00007690551,0.000234199,0.0006600199,0.000006375003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004459743,"about_ca_system_score_gemma":0.00003370713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000107349,"about_ca_topic_score_gemma":9.595625e-7,"domain_scores_codex":[0.9977103,0.0002907469,0.0009756063,0.0003470162,0.0003709896,0.0003053429],"domain_scores_gemma":[0.9967672,0.001531237,0.0008569157,0.0004403672,0.0002911479,0.000113094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004452183,0.001386911,0.0005251645,0.0000767181,0.001501163,0.00002353909,0.001300491,0.0000435868,0.00006563203,0.9210048,0.003022599,0.07060413],"study_design_scores_gemma":[0.004482653,0.001154158,0.002380663,0.0005902915,0.001261224,0.00009333791,0.001405607,0.007445243,0.00004387217,0.9802487,0.0005812281,0.0003130613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649671,0.0001395197,0.00754676,0.0005875907,0.02106206,0.0003100479,0.000009521144,0.00003711146,0.005340261],"genre_scores_gemma":[0.996877,0.00004611614,0.000643426,0.0001728062,0.002200825,0.000002531213,0.00001749568,0.00001580406,0.00002401021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07029106,"threshold_uncertainty_score":0.7191136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09563476601041189,"score_gpt":0.3323631002867085,"score_spread":0.2367283342762966,"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."}}