{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003035903,0.0003579769,0.0002782413,0.001229593,0.005027128,0.00698558,0.0009085624,0.002712457,0.01447304],"category_scores_gemma":[0.004752463,0.0001728973,0.0003058279,0.001252881,0.02442368,0.007441033,0.005553663,0.00266314,0.001224478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004689942,"about_ca_system_score_gemma":0.00237394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003608478,"about_ca_topic_score_gemma":0.004524515,"domain_scores_codex":[0.9966574,0.001731833,0.00006076532,0.0004969845,0.0006852169,0.0003679171],"domain_scores_gemma":[0.9971516,0.001908203,0.0001976238,0.0003012946,0.0002169035,0.0002243971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005633965,0.000003989653,0.0001958367,0.00004025521,9.907931e-7,0.00006152168,0.007484872,0.00004688776,0.0000631373,0.9760067,0.00957405,0.006516093],"study_design_scores_gemma":[0.000002405812,0.000005267953,0.0002475531,0.0002031636,0.000001431095,0.0001290789,0.009541214,0.00005310194,0.0001196502,0.1394311,0.8502614,0.000004670295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01536457,0.01587616,0.01021046,0.146153,0.002846315,0.00002984963,0.0002045602,0.00006711358,0.809248],"genre_scores_gemma":[0.7762648,0.01240366,0.004074556,0.028733,0.002820616,0.0001567987,0.0001668137,0.0001712386,0.1752085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01447304,"threshold_uncertainty_score":0.04841715,"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."}}