{"id":"W7045297817","doi":"","title":"The apolitical aims of digital urban development: Following Alphabet Inc.'s waterfront development in Toronto.","year":2019,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Luxembourg)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Development (topology); Alphabet; Legibility; Urban planning; Field (mathematics); Identification (biology)","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":[0.000460166,0.0007410655,0.0004051731,0.00231109,0.004839339,0.007370844,0.000887366,0.001397828,0.1033547],"category_scores_gemma":[0.001905855,0.0003271318,0.0002235154,0.005923702,0.003390299,0.002499549,0.002377693,0.002048634,0.01506606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02073471,"about_ca_system_score_gemma":0.02393669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6489308,"about_ca_topic_score_gemma":0.8713654,"domain_scores_codex":[0.9994447,0.00004682265,0.00002692789,0.00005755957,0.0002373462,0.0001867423],"domain_scores_gemma":[0.9985471,0.0001246078,0.00008201886,0.0001151058,0.0006230446,0.0005080667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001045031,0.000005426502,0.0002446173,0.0001987996,0.000001511466,0.00006333562,0.001212469,0.00007512854,0.00009039203,0.06189816,0.9145094,0.02169024],"study_design_scores_gemma":[0.000001178904,0.000001974729,0.0009259741,0.00004229438,8.462332e-7,0.00001522988,0.0006733281,0.00001510831,0.00004725128,0.000544392,0.9977288,0.000003781889],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003882613,0.03177602,0.002399773,0.0937992,0.0231852,0.0002221897,0.0121536,0.001334809,0.8312466],"genre_scores_gemma":[0.0342025,0.01313873,0.001222536,0.001832386,0.0009119192,0.00006929531,0.00179261,0.0004292178,0.9464008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3510692,"threshold_uncertainty_score":0.7062733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007037474258266676,"score_gpt":0.2204642460469888,"score_spread":0.2134267717887221,"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."}}