{"id":"W6982447263","doi":"","title":"Infinity Transit Odyssey 1","year":2005,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infinity; Transit (satellite); Calculus (dental); Rail transit","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002062954,0.0004861609,0.00027609,0.001082634,0.00217755,0.00258916,0.000355224,0.0006456834,0.5843168],"category_scores_gemma":[0.0008948169,0.0001993914,0.0002022347,0.001655916,0.0002014316,0.001244004,0.001326843,0.001319142,0.2328061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103105,"about_ca_system_score_gemma":0.000997801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04100399,"about_ca_topic_score_gemma":0.1449756,"domain_scores_codex":[0.9998783,0.00001409505,0.000004132661,0.00002159056,0.00004843032,0.0000334397],"domain_scores_gemma":[0.9996462,0.00003461828,0.00001251529,0.00002462311,0.0001639373,0.0001180743],"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":[0.0000088475,0.000002856535,0.00004486931,0.00001230555,2.977466e-7,0.00001460861,0.000045255,0.000009205385,0.00002054706,0.000677426,0.9921124,0.007051411],"study_design_scores_gemma":[0.000001598073,0.000002894768,0.0005241243,0.00002404691,4.541252e-7,0.000009860573,0.0001063593,0.00001261819,0.00001181522,0.00009822389,0.9992068,0.000001217237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001093089,0.0009044565,0.0004213082,0.003132758,0.004996832,0.00005088108,0.01338067,0.0009781338,0.975042],"genre_scores_gemma":[0.003755678,0.000566019,0.0002732519,0.0005740936,0.0005287653,0.00002574242,0.00631137,0.0004256473,0.9875394],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5843168,"threshold_uncertainty_score":0.5929216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087938627009613,"score_gpt":0.2165909121077758,"score_spread":0.2057115258376797,"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."}}