{"id":"W4398557508","doi":"10.7910/dvn/fmk6sq/50yuqz","title":"653832_2_S2_C.roi","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Methylene blue; Staining; Degree (music); Lymph; Pathology; Medicine; Computer science; Chemistry; Physics; Biochemistry; Acoustics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001042298,0.0003784971,0.0008966859,0.0001158095,0.0001007033,0.00003185816,0.0003036944,0.0002599013,0.02219324],"category_scores_gemma":[0.0003442421,0.0003311294,0.0001919042,0.0001993653,0.0001102383,0.00008798562,0.0004421583,0.000660116,0.3860563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134493,"about_ca_system_score_gemma":0.0003362368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002186558,"about_ca_topic_score_gemma":0.0000772292,"domain_scores_codex":[0.998197,0.000036571,0.0003422153,0.0005943034,0.000453227,0.0003766359],"domain_scores_gemma":[0.9982471,0.00005235602,0.0001207357,0.001145363,0.00007258803,0.0003618683],"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":[0.0001853557,0.00008540587,0.00001279351,0.000593008,0.0002537025,0.0009584037,0.00002855007,6.856474e-8,0.00002182991,0.000005875335,0.9972684,0.0005866524],"study_design_scores_gemma":[0.001145758,0.0003037194,0.0001100949,0.0003269527,0.0005576048,0.00006434954,0.00005312168,0.000003194056,0.00002583544,0.00000374175,0.9970986,0.0003070558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007457591,0.000009628348,0.000003268942,0.0001580482,0.0007637137,0.0003660758,0.9968463,0.00009720972,0.001748356],"genre_scores_gemma":[0.000005979594,0.002735379,0.0002227124,0.005454925,0.001069937,0.0000362127,0.9897051,0.000033279,0.0007364508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3638631,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118310662250076,"score_gpt":0.2891471167466128,"score_spread":0.257964010124112,"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."}}