{"id":"W2784873970","doi":"10.25071/ryr.v3i0.40445","title":"Toronto’s Financial District: A Fieldwork Assignment","year":2016,"lang":"en","type":"article","venue":"Revue YOUR Review (York Online Undergraduate Research)","topic":"Globalization and Cultural Identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Signage; Work (physics); Government (linguistics); Space (punctuation); Geography; Rural district; Public relations; Economic growth; Sociology; Finance; Socioeconomics; Business; Political science; Engineering; Advertising; Economics; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002114267,0.0001883702,0.0003856987,0.00004283707,0.0008160036,0.0001395843,0.0007122785,0.0001428015,0.001476386],"category_scores_gemma":[0.003323083,0.0001285848,0.0002394783,0.0008265511,0.0002814955,0.0003569193,0.0001850939,0.0002414476,0.0005869351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009759311,"about_ca_system_score_gemma":0.0003934004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003154074,"about_ca_topic_score_gemma":0.02421056,"domain_scores_codex":[0.9959097,0.001206578,0.0004930606,0.0004555209,0.001141809,0.0007933387],"domain_scores_gemma":[0.9982749,0.0002294236,0.0001635299,0.0004524952,0.0004506633,0.0004289644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001345497,0.0003202345,0.0006801579,0.0005690292,0.0000318844,0.00003256405,0.0003147427,5.928767e-7,0.0000442029,0.2631203,0.5168835,0.2179893],"study_design_scores_gemma":[0.0002411398,0.00005433089,0.000924468,0.003422829,0.00002627654,0.000004037592,0.0002513257,0.000002380196,0.000005414991,0.01165524,0.9831956,0.0002169658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.002250654,0.2232468,0.002632438,0.6495801,0.001530952,0.003489917,0.0002491433,0.0004947624,0.1165253],"genre_scores_gemma":[0.256844,0.666171,0.0003482717,0.001372376,0.001479494,0.00007285995,0.00007466804,0.00003281346,0.07360458],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6482077,"threshold_uncertainty_score":0.9994364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312669682131257,"score_gpt":0.4294617685063305,"score_spread":0.2981948002932048,"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."}}