{"id":"W4238161170","doi":"10.1515/9781503607460","title":"Citizens in Motion","year":2020,"lang":"en","type":"book","venue":"Stanford University Press eBooks","topic":"Historical and Contemporary Political Dynamics","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Motion (physics); Computer science; Computer vision","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":[],"consensus_categories":[],"category_scores_codex":[0.00003073137,0.0002183899,0.0003153161,0.0001110357,0.000140563,0.0000480508,0.0002765744,0.0001626345,0.0001865279],"category_scores_gemma":[0.000006131158,0.0002423366,0.0001438936,0.000005001605,0.0002639958,0.0000897572,0.0001261086,0.0004500921,0.0000294051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713472,"about_ca_system_score_gemma":0.0001517138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004447383,"about_ca_topic_score_gemma":0.0005229369,"domain_scores_codex":[0.9990712,0.00003608267,0.000181263,0.0002760474,0.0001947067,0.0002406902],"domain_scores_gemma":[0.999491,0.00004200411,0.00008563721,0.0001729971,0.00006006344,0.0001482787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000491985,0.000009626887,4.791894e-7,0.0000809198,0.0000244509,0.0001625979,0.003155123,7.821693e-7,1.436003e-7,0.9607119,0.03473611,0.001068681],"study_design_scores_gemma":[0.0003000507,0.00005644598,9.480734e-7,0.00006063052,0.00003818126,3.528646e-7,0.0002570513,0.0001267176,3.094012e-7,0.007583897,0.991312,0.0002634226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009535104,0.00003791176,0.00009949518,0.00005890615,0.0002885568,0.0002087922,0.0006292832,0.0001171437,0.9985504],"genre_scores_gemma":[0.001830328,0.00001181096,0.0000103341,0.0001568875,0.0002956966,5.853541e-7,0.0001311999,0.0000235463,0.9975396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9565759,"threshold_uncertainty_score":0.98822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04153854980147125,"score_gpt":0.1729523170631315,"score_spread":0.1314137672616602,"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."}}