{"id":"W2004271638","doi":"10.5539/ass.v8n4p99","title":"The Preposition (fii) in the Horizontal and Vertical Axes as Used in the Taizzi Dialect: A Cognitive Approach","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognitive grammar; Locative case; Linguistics; Horizontal and vertical; Spatial relation; Cognition; Landmark; Grammar; Computer science; Arabic; Mathematics; Natural language processing; Psychology; Artificial intelligence; Philosophy; Geometry","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":[0.001088937,0.0005542403,0.0002775383,0.002046242,0.0012573,0.00301807,0.0006585832,0.0007270614,0.0018285],"category_scores_gemma":[0.001928105,0.0002592611,0.0004921877,0.001015625,0.008376115,0.004142062,0.001344752,0.001561566,0.0002778958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339243,"about_ca_system_score_gemma":0.0009739514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00480496,"about_ca_topic_score_gemma":0.004050524,"domain_scores_codex":[0.999487,0.0002067829,0.00003441344,0.0001204917,0.0001002616,0.0000510266],"domain_scores_gemma":[0.9989457,0.0005722945,0.0001580823,0.0001121956,0.0001719576,0.00003984512],"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":[0.0001609743,0.00003355829,0.0060241,0.0003560986,0.00004429238,0.001429286,0.07338979,0.001185303,0.0227091,0.8478448,0.001041716,0.04578104],"study_design_scores_gemma":[0.00007344086,0.0002918192,0.02902896,0.0004351462,0.0002136394,0.01031643,0.1137396,0.01263274,0.02380555,0.6443362,0.1648799,0.0002465921],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5492762,0.002011298,0.2830657,0.004038645,0.0003486057,0.0001308179,0.0002890868,0.0003614462,0.1604782],"genre_scores_gemma":[0.9629002,0.0004348414,0.03462195,0.0002531982,0.00003600738,0.00003538415,0.00006507197,0.00004513788,0.001608199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00480496,"threshold_uncertainty_score":0.009716928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091211741984837,"score_gpt":0.3165393576713214,"score_spread":0.295627240251473,"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."}}