{"id":"W4310088355","doi":"10.5281/zenodo.7369365","title":"[A^I^R™]** TEXANS vs DOLPHINS LIVE FREE","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006602427,0.0001522152,0.0002203571,0.0002387522,0.002313561,0.0002380087,0.001169526,0.00003299676,0.08760731],"category_scores_gemma":[0.000826936,0.0001674343,0.00009233449,0.000650245,0.0001677114,0.0001742179,0.003231075,0.0004529604,0.01078894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003078736,"about_ca_system_score_gemma":0.00001251416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003061414,"about_ca_topic_score_gemma":5.823339e-7,"domain_scores_codex":[0.9977315,0.0003995954,0.0002577348,0.0004903047,0.0007156102,0.0004052206],"domain_scores_gemma":[0.9980897,0.00002775116,0.0001002792,0.001070833,0.000400973,0.0003104295],"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":[0.000504752,0.0004920062,0.0001571188,0.00009520856,0.00011072,0.0002070969,0.001232933,0.00005496665,0.002378876,0.003145441,0.9669651,0.02465575],"study_design_scores_gemma":[0.001274616,0.000549464,0.006045,0.00001709606,0.00003173283,0.0003365901,0.0005465799,0.0001781039,0.00007972638,0.0001558699,0.9906133,0.0001719542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2453202,0.0006249633,0.002435999,0.01273857,0.000726093,0.003045171,0.01299572,0.006943833,0.7151695],"genre_scores_gemma":[0.9785839,0.00007925017,0.0006223568,0.001510261,0.0003368415,2.684196e-7,0.01067797,0.0023279,0.005861288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7332637,"threshold_uncertainty_score":0.9989853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876050108202931,"score_gpt":0.2510208505583492,"score_spread":0.2222603494763199,"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."}}