{"id":"W2989166909","doi":"","title":"EVALUATING IMPACT: THE ALBERTA MAIN STREET PROGRAM’S EFFECT ON PROSPERITY, VIBRANCY, AND EQUITY IN PORTLAND, OREGON","year":2018,"lang":"en","type":"article","venue":"Scholars' Bank (University of Oregon)","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Prosperity; Equity (law); Economic growth; Political science; Geography; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001861931,0.0002874865,0.0002239019,0.0006873348,0.001446018,0.001678378,0.001629111,0.0004231863,0.00523061],"category_scores_gemma":[0.004985315,0.0001630404,0.0003963507,0.001471216,0.00120729,0.0006882367,0.002070759,0.000972335,0.0002138749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01506729,"about_ca_system_score_gemma":0.03439479,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8971676,"about_ca_topic_score_gemma":0.9699828,"domain_scores_codex":[0.9986103,0.0004281638,0.00002512631,0.00006646648,0.0004510191,0.0004189077],"domain_scores_gemma":[0.9970347,0.0007918239,0.0002021007,0.0001105899,0.0007493043,0.001111654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003225573,0.006589347,0.7730082,0.0001155685,0.0003229866,0.0004641963,0.002336724,0.01144686,0.0008091059,0.01295143,0.03710385,0.1516262],"study_design_scores_gemma":[0.000395556,0.0009928745,0.9619542,0.000102155,0.0002316493,0.00003221448,0.01153991,0.006287414,0.001134751,0.001861556,0.01543304,0.0000347047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646872,0.000160581,0.0002344258,0.002542495,0.00004047299,0.000126878,0.001199876,0.00002208052,0.03098605],"genre_scores_gemma":[0.9889269,0.0002465584,0.0006043775,0.0002115979,0.00001600574,0.00009010809,0.000790001,0.000009375036,0.009105091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8971676,"threshold_uncertainty_score":0.2068759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983521009821777,"score_gpt":0.2887492273674147,"score_spread":0.2689140172691969,"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."}}