{"id":"W4409985601","doi":"10.32396/usurj.v10i1.812","title":"\"The Grass is Always Greener\" and \"Questions for AI\"","year":2025,"lang":"en","type":"article","venue":"USURJ University of Saskatchewan Undergraduate Research Journal","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agroforestry; Environmental science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004951246,0.00006947157,0.0001528325,0.0003170166,0.004935605,0.0001746,0.0004148619,0.00006642423,0.00001779536],"category_scores_gemma":[0.0003934966,0.00006241037,0.0001528709,0.0007820454,0.001147975,0.0001843824,0.0001147103,0.0003831439,0.000002423517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707282,"about_ca_system_score_gemma":0.001406189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005047078,"about_ca_topic_score_gemma":0.02681957,"domain_scores_codex":[0.9978119,0.0008884055,0.0001563378,0.0001647354,0.0006175255,0.0003610697],"domain_scores_gemma":[0.9962727,0.002111219,0.00008709119,0.000111812,0.001235335,0.0001818108],"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":[0.0003815427,0.00022959,0.01444175,0.00007723768,0.001059091,0.00003309622,0.03285434,0.0002590508,0.0004548517,0.4960667,0.09032342,0.3638194],"study_design_scores_gemma":[0.0005322258,0.00005834405,0.002940299,0.00005645373,0.00006087094,0.000003037798,0.04904682,0.001078482,0.00004272522,0.6459398,0.3001535,0.00008744911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08263566,0.001727362,0.3205895,0.5792362,0.0003941962,0.000638061,0.00003765178,0.00005207893,0.01468928],"genre_scores_gemma":[0.9611688,0.002135511,0.005645649,0.00008713664,0.00009503112,4.501389e-7,0.000001902635,0.000004689652,0.03086088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8785331,"threshold_uncertainty_score":0.9963598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05211360939955588,"score_gpt":0.388410539014883,"score_spread":0.3362969296153271,"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."}}