{"id":"W4229056649","doi":"10.7202/1088476ar","title":"The Narrows","year":2022,"lang":"en","type":"article","venue":"The Trumpeter","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000926087,0.00008111406,0.00005881603,0.00001828796,0.001406547,0.00005056554,0.0007449533,0.000007768174,0.002311084],"category_scores_gemma":[0.00002733967,0.00003815747,0.00007516338,0.0001900931,0.000123284,0.00003524715,0.0003576262,0.0002632133,0.007219969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006860767,"about_ca_system_score_gemma":0.00002164096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001902997,"about_ca_topic_score_gemma":0.00002499401,"domain_scores_codex":[0.9987876,0.0003583471,0.0001079701,0.0001182186,0.0003477647,0.0002801369],"domain_scores_gemma":[0.9990488,0.000203342,0.00004975033,0.000662233,0.00001052347,0.00002533924],"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":[0.0007681292,0.0001437861,0.002704682,0.000004766503,0.0002481431,0.00004254073,0.01316904,0.0007390096,0.03448829,0.04378132,0.8883348,0.01557545],"study_design_scores_gemma":[0.0002486658,0.00005454039,0.003947813,7.09095e-7,0.00001606137,0.00004919521,0.0007704732,0.0003284172,0.0005788229,0.004695083,0.9892122,0.00009801612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482526,0.0003770167,0.00000243911,0.009479391,0.0006050147,0.0002958725,0.00004452361,0.0002043687,0.04073873],"genre_scores_gemma":[0.986394,0.000001772645,0.00001057873,0.001033014,0.0001049113,0.0001471707,0.000002775323,0.00005111512,0.01225463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008774,"threshold_uncertainty_score":0.9998935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964533941995567,"score_gpt":0.214187287912934,"score_spread":0.2045419484929783,"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."}}