{"id":"W7019384724","doi":"","title":"Gormley - Belton Johnson - November 3rd, 2023","year":2023,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Range (aeronautics); Work (physics); Government (linguistics); Variety (cybernetics); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004465418,0.0008675159,0.0005489091,0.0008626062,0.003661032,0.004211087,0.0007944574,0.002443581,0.8552359],"category_scores_gemma":[0.00114862,0.0006100461,0.0005076521,0.0006492067,0.0004592413,0.001731992,0.002056316,0.002587241,0.773264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809036,"about_ca_system_score_gemma":0.003306869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05417665,"about_ca_topic_score_gemma":0.2364424,"domain_scores_codex":[0.9996303,0.00001586309,0.000007463753,0.00004358531,0.0001677533,0.0001349074],"domain_scores_gemma":[0.9993138,0.00003786555,0.00001630302,0.00004569305,0.0002298179,0.0003564685],"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":[0.00002665418,0.00003128121,0.00009516101,0.00001370175,9.211303e-7,0.00002196245,0.00001082595,0.0000164366,0.00006942469,0.0006016959,0.9888294,0.01028248],"study_design_scores_gemma":[0.00001057844,0.00001178078,0.0004802379,0.00002475577,0.000001129734,0.00001027766,0.00005335526,0.00003440938,0.00006220705,0.0001837961,0.9991233,0.000004173718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005776857,0.0002562394,0.0001670251,0.001623195,0.00117055,0.0000871032,0.002887508,0.00110985,0.9921209],"genre_scores_gemma":[0.0004069931,0.00004836831,0.00003679288,0.0003128901,0.00002010847,0.000008972711,0.0003480759,0.00009680764,0.9987209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1447641,"threshold_uncertainty_score":0.2064883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773183059950025,"score_gpt":0.2619166829172647,"score_spread":0.2441848523177645,"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."}}