{"id":"W4229830675","doi":"10.25071/1705-1436.113","title":"Backlash","year":2006,"lang":"en","type":"article","venue":"Just Labour","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Backlash; Political science; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001421792,0.0007550468,0.0006789536,0.001348414,0.007022846,0.009458194,0.00144609,0.005554311,0.5483236],"category_scores_gemma":[0.007895976,0.0004700258,0.0009013905,0.0007743185,0.001845381,0.00444374,0.005813025,0.008125508,0.3659347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002299357,"about_ca_system_score_gemma":0.005196766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008870374,"about_ca_topic_score_gemma":0.02427515,"domain_scores_codex":[0.9978403,0.0002644506,0.0000604201,0.0002313146,0.001015928,0.0005875492],"domain_scores_gemma":[0.9967008,0.0004270823,0.00007409182,0.0003920848,0.001200925,0.001205028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001926675,0.00001746285,0.00008447218,0.00002756985,0.000001585339,0.0000524852,0.0001429882,0.000007642187,0.0000878453,0.007751464,0.9705867,0.02122054],"study_design_scores_gemma":[0.000004443348,0.000008531477,0.0001510007,0.00004120357,0.000001332666,0.00004224783,0.0002279346,0.00001015814,0.00003702457,0.001349517,0.9981222,0.000004380134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0009628196,0.002031278,0.0005293196,0.05156433,0.03237048,0.00005850242,0.0003467653,0.0005848948,0.9115517],"genre_scores_gemma":[0.001945954,0.0002942472,0.00007910445,0.01066275,0.001337025,0.0000147752,0.00007799928,0.000132773,0.9854554],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5483236,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203112189031596,"score_gpt":0.2466726699777933,"score_spread":0.2346415480874773,"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."}}