{"id":"W7018287229","doi":"","title":"Densification & affordability : comparative real estate projects across Montreal","year":2014,"lang":"en","type":"other","venue":"Open MIND","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Context (archaeology); Urban planning; Real estate development; Process (computing); Government (linguistics); Residential real estate","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003914731,0.0002771504,0.000329117,0.00003028946,0.00007558863,0.0001285432,0.0005468799,0.0003568048,0.0006529933],"category_scores_gemma":[0.00007824125,0.0002490474,0.00006412376,0.00005760083,0.000136064,0.000003796138,0.000374489,0.0001835498,0.0007236624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002148705,"about_ca_system_score_gemma":0.0001115216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664556,"about_ca_topic_score_gemma":0.0225157,"domain_scores_codex":[0.9987216,0.0001332244,0.0002837863,0.0004514242,0.0001404309,0.0002695392],"domain_scores_gemma":[0.9986082,0.0000156289,0.0004137859,0.0008188268,0.00006526004,0.00007832159],"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":[0.0004433857,0.0003252979,0.004866164,0.0002569575,0.0004509792,0.000003380803,0.009358868,0.0002003314,0.007361609,0.0000105039,0.6643971,0.3123254],"study_design_scores_gemma":[0.000392945,0.0001105103,0.001222597,0.00003712118,0.00002237582,0.000006791346,0.0001886529,0.0002432619,0.001456388,0.000002480893,0.9960008,0.0003160647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1004642,0.00001854139,0.0005986461,0.00002692693,0.0001183378,0.0009196369,0.0001931084,0.00000573285,0.8976548],"genre_scores_gemma":[0.03824096,0.0002679654,0.04187663,0.00004209089,0.0004291432,0.00008254874,0.005491091,0.0002349337,0.9133346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3316037,"threshold_uncertainty_score":0.9999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729753491077685,"score_gpt":0.3734104646983946,"score_spread":0.3261129297876177,"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."}}