{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002030795,0.000492509,0.0002613151,0.002909925,0.01103278,0.00865105,0.0008336226,0.003471664,0.01543482],"category_scores_gemma":[0.01326065,0.0003040258,0.0002140438,0.002060927,0.009477652,0.00442427,0.004336088,0.005053389,0.002600888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002496869,"about_ca_system_score_gemma":0.001365434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004774429,"about_ca_topic_score_gemma":0.01250611,"domain_scores_codex":[0.9976985,0.001321258,0.00007430219,0.0001588032,0.0004797118,0.0002673941],"domain_scores_gemma":[0.9955395,0.002855252,0.0003433574,0.0004307895,0.0005383123,0.0002927565],"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":[0.0001723107,0.00002929096,0.001147974,0.0004720128,0.00003721505,0.003391479,0.2856431,0.0001021691,0.001762077,0.4699129,0.1877965,0.04953293],"study_design_scores_gemma":[0.00001805915,0.00003321279,0.001861607,0.0006398491,0.00003624596,0.002332937,0.1489197,0.0002649889,0.002317123,0.04001693,0.8035172,0.00004225902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1266578,0.007940469,0.00586695,0.09783273,0.009326139,0.00008924926,0.0004843163,0.0002316012,0.7515708],"genre_scores_gemma":[0.8299822,0.002360399,0.002307714,0.01027186,0.001916104,0.00004245518,0.0001399206,0.0002420912,0.1527372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01543482,"threshold_uncertainty_score":0.05163467,"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."}}