{"id":"W4408952628","doi":"10.1525/sfs.31.2.0291","title":"Review: <i>Decoding Gender in Science Fiction</i>, by Brian Attebery","year":2004,"lang":"en","type":"article","venue":"Science Fiction Studies","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Decoding methods; Art; Sociology; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005519269,0.0001618922,0.0002601329,0.0003575216,0.003094079,0.0001539814,0.0005997365,0.00005024499,0.00003514236],"category_scores_gemma":[0.002001449,0.0001507783,0.00006137649,0.004002009,0.004107233,0.001336654,0.0001515352,0.000192644,0.00006837427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009443739,"about_ca_system_score_gemma":0.001187721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00049275,"about_ca_topic_score_gemma":0.0004845471,"domain_scores_codex":[0.9966518,0.00005739485,0.0003798664,0.0007088126,0.001350668,0.0008514469],"domain_scores_gemma":[0.9987929,0.00008350384,0.0001471338,0.0002724667,0.0004624882,0.000241545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002110199,0.0005445898,0.02579331,0.0005247202,0.00005373587,0.00002163731,0.535781,0.0003376374,0.03792012,0.02247992,0.3472126,0.02930962],"study_design_scores_gemma":[0.001236231,0.0001289782,0.02679005,0.001459318,0.00006688052,0.00002058751,0.377025,0.00002268321,0.006159102,0.004424744,0.5815393,0.001127049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5690621,0.1155605,0.001061175,0.01858378,0.01767375,0.002099201,0.00002560182,0.0006682421,0.2752657],"genre_scores_gemma":[0.9325449,0.06457971,0.0003739687,0.001548061,0.0002475864,0.00005480633,0.000001152469,0.000007499881,0.0006422725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3634828,"threshold_uncertainty_score":0.998603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08987728872700325,"score_gpt":0.3958429346628691,"score_spread":0.3059656459358659,"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."}}