{"id":"W2274547276","doi":"","title":"Forever at Odds","year":2010,"lang":"en","type":"article","venue":"Divergent/Convergent","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Odds; Computer science; Logistic regression","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003836277,0.0002289553,0.0002019457,0.00009363428,0.0007144063,0.0001956968,0.0004374834,0.0001283459,0.07591775],"category_scores_gemma":[0.0001057103,0.000202175,0.0001922641,0.00004514743,0.0001967437,0.0004617003,0.0002996597,0.0005132413,0.002709507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000531948,"about_ca_system_score_gemma":0.00002889066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005390476,"about_ca_topic_score_gemma":0.0009794064,"domain_scores_codex":[0.9983858,0.00003614298,0.0003355389,0.0003602027,0.0003859632,0.0004963855],"domain_scores_gemma":[0.9991038,0.00005474563,0.000127347,0.0003322563,0.0001353463,0.0002465453],"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":[0.00003054509,0.000102305,0.03565892,0.00005348804,0.00009382088,0.00001805772,0.02161472,0.000001937834,0.002568742,0.3302281,0.6070609,0.002568367],"study_design_scores_gemma":[0.0003021998,0.00002535759,0.003048212,0.00001214734,0.00003258641,0.000006169375,0.001021284,0.00009783467,0.0009717888,0.001043562,0.9931272,0.000311697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590717,0.0001960279,0.00001642626,0.001396595,0.009192321,0.00016286,0.00009793389,0.0002362822,0.1296298],"genre_scores_gemma":[0.9177889,0.00004480968,0.00004415632,0.001075096,0.002363262,0.00002169445,0.00008465591,0.00003377644,0.07854363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3860662,"threshold_uncertainty_score":0.998067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717977650330724,"score_gpt":0.2233124785578488,"score_spread":0.1961327020545415,"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."}}