{"id":"W4398686538","doi":"10.7910/dvn/fmk6sq/xrslxd","title":"645919_2.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; Computer science; Medicine; Chemistry; Physics; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001264756,0.002096649,0.001909112,0.003928753,0.0006456597,0.003168007,0.00314055,0.002237027,0.2567451],"category_scores_gemma":[0.009496211,0.0009300998,0.00164787,0.007000076,0.0004440662,0.001465026,0.002458163,0.001448896,0.2352075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513212,"about_ca_system_score_gemma":0.002064487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038565,"about_ca_topic_score_gemma":0.02874557,"domain_scores_codex":[0.9989895,0.0002480851,0.000114197,0.0003157555,0.0001645916,0.0001678519],"domain_scores_gemma":[0.9974372,0.0009573948,0.0003402217,0.0004928947,0.0004393468,0.0003328912],"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":[0.00006391574,0.000008677122,0.0004612659,0.0006720887,0.00004103881,0.000008088106,0.00001029128,0.0001642775,0.00003045177,0.0003531707,0.9964195,0.001767151],"study_design_scores_gemma":[0.0005919272,0.00002886315,0.002693675,0.0005797021,0.00006867178,0.00004945031,0.00003642613,0.0003440242,0.0001771837,0.001784977,0.9936195,0.00002556078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004577767,0.00009838424,0.00003175181,0.00007046563,0.00001817227,0.00000478532,0.9987214,0.0002607471,0.0007483455],"genre_scores_gemma":[0.0005294967,0.0001428674,0.0001968487,0.000146605,0.00002228412,0.00007101261,0.9973346,0.0002005163,0.001355772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7432549,"threshold_uncertainty_score":0.858898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313227811638364,"score_gpt":0.2899816733541866,"score_spread":0.2586588921903502,"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."}}