{"id":"W6889100838","doi":"10.25377/sussex.7263053","title":"Katrina Sa'ade to Suleiman Farhat, 2 October 1933","year":2018,"lang":"en","type":"dataset","venue":"University of Sussex","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Hurricane katrina; Redevelopment; Quarter (Canadian coin)","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":[],"consensus_categories":[],"category_scores_codex":[0.0007810628,0.001097248,0.0007481652,0.002570555,0.001664117,0.003501307,0.0009618249,0.0009397177,0.127002],"category_scores_gemma":[0.007069323,0.0003939547,0.000470026,0.00411178,0.0004320703,0.001685387,0.002062575,0.001123283,0.2418921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421312,"about_ca_system_score_gemma":0.001914134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05616364,"about_ca_topic_score_gemma":0.1573425,"domain_scores_codex":[0.9992326,0.0001189624,0.00005458971,0.0002164796,0.0002427511,0.0001345544],"domain_scores_gemma":[0.9981605,0.0003230202,0.0001226478,0.000401507,0.0007419668,0.0002502969],"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":[0.00001236919,0.000002239198,0.0003332414,0.00004078198,0.00000175846,0.000007694282,0.00002466306,0.00001366858,0.00001452714,0.00009212024,0.997631,0.001826026],"study_design_scores_gemma":[0.000009471255,0.000002426734,0.002199721,0.00008830795,0.000002558098,0.0000216003,0.0001761855,0.00005048261,0.00006955884,0.0002401382,0.9971337,0.000005783161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006534205,0.0004922019,0.0001649796,0.0007619669,0.0004244644,0.00001715831,0.9848933,0.00108498,0.01150756],"genre_scores_gemma":[0.001598661,0.0003062172,0.0003534271,0.0001786659,0.00006924388,0.00007400125,0.9786621,0.0003028229,0.01845492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.127002,"threshold_uncertainty_score":0.4248639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234265124851809,"score_gpt":0.2188298936599335,"score_spread":0.2064872424114155,"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."}}