{"id":"W7125903310","doi":"10.18148/lfg/2023.v28i.42","title":"Persian perception verbs","year":2023,"lang":"en","type":"article","venue":"Open Journal Systems (Global Science & Technology Forum)","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Perception; Semantics (computer science); Syntax; Predicate (mathematical logic); Persian; Context (archaeology); Focus (optics); Salient","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005910444,0.0006449226,0.000197617,0.0008676978,0.0007966487,0.001784792,0.0003876217,0.0005993245,0.01010693],"category_scores_gemma":[0.001443453,0.0001538904,0.0002595059,0.0008564844,0.002757626,0.003407355,0.0009509872,0.0009473117,0.001340976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338652,"about_ca_system_score_gemma":0.0004232107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001627082,"about_ca_topic_score_gemma":0.001169943,"domain_scores_codex":[0.9995188,0.0001377242,0.00002698791,0.0001513108,0.0001118751,0.00005328524],"domain_scores_gemma":[0.9993719,0.0002656866,0.0001217346,0.00009758016,0.000119493,0.00002353275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000640514,0.00001070445,0.001348759,0.0001005082,0.00001136789,0.0002974895,0.006968051,0.000298485,0.003201443,0.9490899,0.004387467,0.03422167],"study_design_scores_gemma":[0.00005022429,0.00007507838,0.01271854,0.0001386339,0.00004351,0.00236485,0.007908115,0.003848103,0.008418762,0.6618704,0.3025132,0.00005065084],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3523839,0.003256251,0.08761229,0.003337294,0.0003596918,0.00009968934,0.001268495,0.0008727722,0.5508096],"genre_scores_gemma":[0.9789762,0.0003786841,0.007855026,0.0003532682,0.00007468212,0.00002603649,0.0003505226,0.0001082725,0.01187733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01010693,"threshold_uncertainty_score":0.03381103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227447789934365,"score_gpt":0.3612752315640601,"score_spread":0.3385304525706236,"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."}}