{"id":"W4412420338","doi":"10.22541/au.175256848.84180334/v1","title":"Equally Effective: Comparing ChatGPT, Literature Guided, and Data-Driven Models in Predicting Angler Pressure","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Alberta; Brock University","funders":"","keywords":"Econometrics; Computer science; Data science; Mathematics","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":[0.00644831,0.001579901,0.001140794,0.002336005,0.0004509339,0.002513943,0.002113237,0.001652331,0.001842971],"category_scores_gemma":[0.02492712,0.0004414162,0.001273421,0.001651476,0.0006118264,0.002980307,0.001367828,0.001646144,0.001001231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738431,"about_ca_system_score_gemma":0.002655403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0290381,"about_ca_topic_score_gemma":0.02465117,"domain_scores_codex":[0.9979219,0.001112999,0.0001175673,0.000432545,0.0003149597,0.0001000947],"domain_scores_gemma":[0.9861192,0.01029181,0.0006451895,0.0007255776,0.001741191,0.0004770363],"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":[0.001564036,0.0008608478,0.06690612,0.0005655868,0.0008592832,0.000318602,0.0004238199,0.7992398,0.001406312,0.00443919,0.005607357,0.117809],"study_design_scores_gemma":[0.0000937996,0.0002381617,0.00455456,0.00007727608,0.0001503284,0.00006747207,0.0001417198,0.9864374,0.0007496911,0.00560769,0.001828803,0.00005315657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7387296,0.003918109,0.2221673,0.006101814,0.0007301087,0.0005979718,0.007065974,0.00408086,0.01660825],"genre_scores_gemma":[0.9523721,0.0004164287,0.03989498,0.0006757365,0.0001328158,0.0002364609,0.003742361,0.0001110451,0.002417994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0290381,"threshold_uncertainty_score":0.05773818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2263244111058759,"score_gpt":0.4645723234298039,"score_spread":0.2382479123239281,"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."}}