{"id":"W2327895738","doi":"10.2307/2672327","title":"Times Enmeshed: Gender, Space, and History.","year":2000,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Historical Gender and Feminism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Space (punctuation); Political science; Gender studies; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001317128,0.0002815419,0.0001827621,0.001552517,0.008186167,0.006635346,0.0006268941,0.001318434,0.008196065],"category_scores_gemma":[0.002914131,0.000182633,0.0001051713,0.002504528,0.02957704,0.00828448,0.003093418,0.00259825,0.0002709164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004028137,"about_ca_system_score_gemma":0.002848341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03886515,"about_ca_topic_score_gemma":0.07295458,"domain_scores_codex":[0.9992365,0.0004675807,0.00001226611,0.00006486757,0.00008799386,0.0001307618],"domain_scores_gemma":[0.9990454,0.0005631729,0.0001176543,0.00006032427,0.00006727837,0.00014613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000343029,0.00002249178,0.002676887,0.00008333184,0.000005348234,0.0003291543,0.2400524,0.0000554699,0.0001382821,0.7170979,0.007773577,0.03173096],"study_design_scores_gemma":[0.000004753501,0.00003457881,0.009586228,0.0006198297,0.00001157747,0.0003230573,0.4472839,0.0000761638,0.0003132069,0.1229576,0.4187714,0.00001782195],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2069297,0.05681933,0.001752259,0.05379349,0.0009277451,0.00001821814,0.0001532509,0.00003110578,0.6795749],"genre_scores_gemma":[0.9664412,0.01077571,0.000226105,0.001157092,0.0003008057,0.0000192763,0.00002379577,0.0000255849,0.02103044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03886515,"threshold_uncertainty_score":0.07727784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708854685539456,"score_gpt":0.2493948404349585,"score_spread":0.222306293579564,"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."}}