{"id":"W7053016294","doi":"","title":"Step By Step: Suburban Active Transportation Planning in Spring Hill, Tennessee","year":2024,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Work (physics); Spring (device); Plan (archaeology); Land use; Urban planning; Transportation planning","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":[0.0004854413,0.0002005845,0.00009275496,0.0002540457,0.005920772,0.001493632,0.001034688,0.0004934356,0.009049716],"category_scores_gemma":[0.0006336228,0.000182327,0.000109815,0.0008487877,0.0009553892,0.000718412,0.001359407,0.0008638062,0.0005527162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0129505,"about_ca_system_score_gemma":0.02619209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7172682,"about_ca_topic_score_gemma":0.935542,"domain_scores_codex":[0.9996146,0.0001166835,0.000009653625,0.00004513873,0.00006327957,0.000150633],"domain_scores_gemma":[0.999431,0.00006414768,0.00003272047,0.0000166133,0.0001257343,0.0003297714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001704129,0.001248915,0.1512695,0.000600774,0.00006725241,0.01806044,0.2256363,0.005437506,0.010971,0.02048214,0.2552953,0.3107605],"study_design_scores_gemma":[0.00002218244,0.0002434017,0.1771004,0.0002630345,0.00001883617,0.0005886371,0.5137146,0.00176586,0.001020627,0.001744251,0.3034663,0.00005173182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8847799,0.0006320706,0.001471202,0.01480255,0.0001154131,0.0005587923,0.0007077947,0.0001028607,0.09682941],"genre_scores_gemma":[0.8903021,0.001541029,0.005028231,0.003167272,0.00002007321,0.0003767977,0.0007443473,0.00004900667,0.09877119],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7172682,"threshold_uncertainty_score":0.5687937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008675429320228148,"score_gpt":0.2610368691249721,"score_spread":0.252361439804744,"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."}}