{"id":"W4409791158","doi":"10.61091/jcmcc127a-443","title":"A Bayesian inference-based model for evaluating the effect of ecological education in the process of study tour activities in national parks","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Bayesian inference; Inference; Process (computing); Bayesian probability; Computer science; Ecology; Machine learning; Management science; Artificial intelligence; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004640121,0.001197254,0.001296493,0.002171012,0.0007570772,0.001927059,0.002281384,0.001716623,0.003989875],"category_scores_gemma":[0.01196146,0.0008693703,0.001522553,0.001501769,0.0009353016,0.003003249,0.001170437,0.001589173,0.0004471162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868919,"about_ca_system_score_gemma":0.002199106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05116419,"about_ca_topic_score_gemma":0.03152524,"domain_scores_codex":[0.9977127,0.0008563453,0.0001547804,0.0006524801,0.0003963533,0.0002274688],"domain_scores_gemma":[0.9957693,0.002916426,0.0004523237,0.00009846223,0.000631243,0.0001322916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001338656,0.00008184265,0.01041375,0.0001069628,0.0001320185,0.000134646,0.0001913676,0.9366177,0.0004815949,0.02200161,0.001069468,0.02863527],"study_design_scores_gemma":[0.00001652763,0.00002873711,0.001393827,0.00001984063,0.00004239766,0.00003047255,0.00002485911,0.9877901,0.0001268902,0.01016139,0.0003460271,0.00001899614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06422461,0.0005604086,0.9284506,0.0007803528,0.00006160037,0.0001805186,0.0006006713,0.0003534736,0.004787661],"genre_scores_gemma":[0.8751643,0.0009264023,0.114131,0.0002235848,0.00008777753,0.0006842928,0.001202164,0.00006995093,0.007510675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05116419,"threshold_uncertainty_score":0.1017328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06292612133934371,"score_gpt":0.436320561257754,"score_spread":0.3733944399184103,"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."}}