{"id":"W2915204622","doi":"10.14506/ca34.1.11","title":"Walk This Way: Fitbit and Other Kinds of Walking in Palestine","year":2019,"lang":"en","type":"article","venue":"Cultural Anthropology","topic":"Jewish and Middle Eastern Studies","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Social Sciences and Humanities Research Council of Canada; Universitetet i Oslo","keywords":"Palestine; Wearable computer; Sociology; History; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014974,0.00007385098,0.0002000755,0.00003268035,0.000108982,0.000008721571,0.00008326318,0.00008188561,0.0005323811],"category_scores_gemma":[0.00007647696,0.00005273652,0.00002643439,0.0001140862,0.001002453,0.00008063168,0.00005595426,0.00007545258,0.00005359596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001872128,"about_ca_system_score_gemma":0.00001501719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007392311,"about_ca_topic_score_gemma":0.0131544,"domain_scores_codex":[0.9993118,0.00007865558,0.0001403236,0.0001503417,0.00008632396,0.0002325417],"domain_scores_gemma":[0.9997486,0.0000554367,0.00006237853,0.00005916872,0.0000419127,0.00003252523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001647416,0.00003674804,0.8854678,0.00002958092,0.00002095877,0.000004981279,0.02878381,3.561534e-7,0.002065524,0.0455546,0.0003035105,0.03771568],"study_design_scores_gemma":[0.002777434,0.0006153815,0.3850263,0.0003014565,0.00005075144,0.00003267353,0.3243699,0.00004184373,0.001878794,0.00767109,0.2764188,0.0008154957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486878,0.002787255,0.00000155877,0.001444216,0.0004725735,0.0001052173,0.000003481956,0.00001735343,0.04648056],"genre_scores_gemma":[0.995823,0.0002764098,0.00005592283,0.0001703667,0.00009160537,0.000002696769,9.905895e-7,0.000003872848,0.003575154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5004415,"threshold_uncertainty_score":0.9992176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522560312801992,"score_gpt":0.3308568873801367,"score_spread":0.2956312842521168,"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."}}