{"id":"W4297217761","doi":"10.1177/25148486221123136","title":"Feminist digital natures","year":2022,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Scholarship; Politics; Sociology; Affordance; Epistemology; Work (physics); Action (physics); Feminism; Feminist philosophy; Political science; Gender studies; Computer science; Law; Engineering; Human–computer interaction","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":[0.000223238,0.00008630152,0.00009007111,0.00003477734,0.0007813822,0.0000758952,0.00008056789,0.00011696,0.0001098431],"category_scores_gemma":[0.00004623189,0.00008244572,0.00002186453,0.00004496614,0.0001254283,0.00005333307,0.00009165805,0.0004858398,0.000003271813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000225959,"about_ca_system_score_gemma":0.000019563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001664302,"about_ca_topic_score_gemma":0.0000037427,"domain_scores_codex":[0.9992182,0.00004006081,0.00005726402,0.0001960486,0.0002913768,0.0001970785],"domain_scores_gemma":[0.9996831,0.00009966962,0.00003383899,0.00006683241,0.000001889093,0.0001146596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001408054,0.0001587793,0.4130683,0.00003029406,0.00008470652,0.000209359,0.3500409,0.00007965168,0.0002803305,0.01916175,0.2003993,0.01634585],"study_design_scores_gemma":[0.0001523572,0.00004410148,0.00936373,0.000003647548,0.000009132727,0.000005210219,0.0456626,0.000003893665,0.00001465302,0.0003713619,0.9442509,0.0001183469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8766802,0.01928391,0.00001118052,0.002762799,0.00088191,0.000185386,0.00005639162,0.00005530758,0.1000829],"genre_scores_gemma":[0.9877954,0.000375069,0.00005929235,0.0005555121,0.0002965261,0.000007047312,0.00002237893,0.000006493069,0.01088233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7438517,"threshold_uncertainty_score":0.6009839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009966930038871422,"score_gpt":0.2517785441742456,"score_spread":0.2418116141353741,"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."}}