{"id":"W7032565093","doi":"","title":"Appendix: Toronto","year":2007,"lang":"en","type":"article","venue":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Public access; Local government; Foundation (evidence); Public housing","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001154536,0.0002012061,0.0002609598,0.0001136797,0.001414407,0.0003643981,0.0005667174,0.000183794,0.0009085796],"category_scores_gemma":[0.0001437375,0.0002364121,0.0001541195,0.0001707572,0.000418019,0.004817138,0.0002618088,0.0001800755,0.0001192554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818953,"about_ca_system_score_gemma":0.00006069517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000657443,"about_ca_topic_score_gemma":0.002020476,"domain_scores_codex":[0.9980068,0.000070763,0.0002429443,0.0005404078,0.0005888969,0.0005501769],"domain_scores_gemma":[0.9987787,0.0002381354,0.0002149426,0.0001861472,0.00004644094,0.0005356412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008649999,0.0004602601,0.8045324,0.00009858746,0.000117376,0.00005356729,0.03146952,0.001134533,0.00237305,0.00710714,0.002190941,0.1495976],"study_design_scores_gemma":[0.0006862431,0.0005251248,0.07976836,0.00004645055,0.00003535644,0.000002416443,0.01567528,0.0000653799,0.00068884,0.0005498575,0.9013973,0.000559353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748959,0.0003701031,0.01052715,0.001005228,0.0001100422,0.0005529685,0.00005378012,0.00008803621,0.01239678],"genre_scores_gemma":[0.9843969,0.0003125251,0.00100163,0.0001308048,0.00009575982,0.000001159648,0.00008434356,0.00001684494,0.01396006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8992064,"threshold_uncertainty_score":0.9998856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788777476611982,"score_gpt":0.2695416773585603,"score_spread":0.2416539025924405,"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."}}