{"id":"W1582796462","doi":"","title":"A Cyborgâ€™s Testimonial: Mourning Blade Runnerâ€™s Cryptic Images","year":2009,"lang":"en","type":"article","venue":"","topic":"Gothic Literature and Media Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Testimonial; Blade (archaeology); Art; Visual arts; History; Archaeology; Advertising","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":[],"consensus_categories":[],"category_scores_codex":[0.0004979596,0.0001158136,0.0001866021,0.0001190485,0.0004067541,0.0002227273,0.0002360869,0.000118144,0.0007759424],"category_scores_gemma":[0.0006033431,0.0000941815,0.0001152327,0.0005622674,0.0001184321,0.0003002837,0.000013142,0.0001987424,0.0001741457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005030589,"about_ca_system_score_gemma":0.0001305686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068992,"about_ca_topic_score_gemma":0.0003340876,"domain_scores_codex":[0.9986674,0.0001069377,0.000185797,0.0002248311,0.0004019167,0.0004131742],"domain_scores_gemma":[0.9992763,0.0001423308,0.00006027735,0.0001764425,0.0001129225,0.0002317181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000535636,0.0007239797,0.0155518,0.00002997438,0.000287766,0.0004062116,0.1756115,0.0001499126,0.0508221,0.2773857,0.2645529,0.2144246],"study_design_scores_gemma":[0.001363368,0.0004000189,0.03425772,0.0001624828,0.0005466206,0.00001092888,0.01981841,0.0007516536,0.00630739,0.04814816,0.8867835,0.001449723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09331486,0.001088928,0.002909664,0.07151976,0.0006077057,0.0003557864,0.000004350621,0.0007504948,0.8294485],"genre_scores_gemma":[0.9575996,0.00008279882,0.004456535,0.002767562,0.0006338847,0.000004069612,0.000003917633,0.000006725963,0.03444486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8642848,"threshold_uncertainty_score":0.8496025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149779697415865,"score_gpt":0.3034144770187671,"score_spread":0.2919166800446084,"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."}}