{"id":"W4379165242","doi":"10.1007/978-3-031-31746-0_1","title":"Introduction","year":2023,"lang":"en","type":"book-chapter","venue":"The urban book series","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Futures contract; Urban planning; Architectural engineering; Environmental planning; Regional science; Geography; Engineering; Library science; Computer science; Civil engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006647605,0.0008950052,0.0005675623,0.00184518,0.001400872,0.004380587,0.001596233,0.001702505,0.7104281],"category_scores_gemma":[0.002708738,0.0003451981,0.0005486123,0.001851174,0.0004744046,0.003011089,0.002411271,0.001695144,0.6503314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283169,"about_ca_system_score_gemma":0.002048047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236637,"about_ca_topic_score_gemma":0.005894233,"domain_scores_codex":[0.9993536,0.0000655442,0.00002410353,0.0001305834,0.0003585706,0.00006757733],"domain_scores_gemma":[0.9989631,0.0001440453,0.00003467653,0.0001301393,0.0005181274,0.0002099574],"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":[0.00001435827,0.00002846383,0.00006903232,0.0001044736,0.000001336335,0.00002863198,0.00007378902,0.00006531556,0.0002164195,0.0143541,0.8645929,0.1204511],"study_design_scores_gemma":[0.000001439055,0.000004237992,0.00006044903,0.00004936873,6.144958e-7,0.00001967648,0.00002864047,0.00001440015,0.00003864438,0.001833852,0.9979468,0.000001896202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002743163,0.002102229,0.003429841,0.002612779,0.004565277,0.0001624961,0.003520223,0.001067801,0.982265],"genre_scores_gemma":[0.0006957683,0.00116005,0.001140561,0.0009623604,0.0005792553,0.00007706703,0.001985879,0.0002734518,0.9931256],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7104281,"threshold_uncertainty_score":0.4130392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960674783133854,"score_gpt":0.2463831675602644,"score_spread":0.2267764197289259,"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."}}