{"id":"W4398299844","doi":"10.7910/dvn/fmk6sq/1bhsoi","title":"652684_5S1C.tiff","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; Lymph; Degree (music); Computer science; Chemistry; Pathology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00144512,0.002114591,0.002274218,0.004591505,0.0008728527,0.003651249,0.003534171,0.002555367,0.5050805],"category_scores_gemma":[0.01324437,0.001189107,0.001858706,0.01046717,0.0005954099,0.001934766,0.003272662,0.001688271,0.3401527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942544,"about_ca_system_score_gemma":0.002640834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02916637,"about_ca_topic_score_gemma":0.04177668,"domain_scores_codex":[0.9987802,0.0002579647,0.000181557,0.0003218878,0.0001898515,0.0002684187],"domain_scores_gemma":[0.9953611,0.001894803,0.0005637507,0.0007746245,0.0008524494,0.0005532497],"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":[0.00006929228,0.000008741486,0.0004544596,0.001082004,0.00003942534,0.00001022034,0.00001547663,0.0001266496,0.00003877053,0.0004260805,0.9961699,0.001559025],"study_design_scores_gemma":[0.0006281154,0.00002527008,0.002989884,0.0009164572,0.00007526395,0.00004840572,0.00005138325,0.0001588937,0.000192928,0.001855277,0.993024,0.00003415245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002344586,0.00005635784,0.00002229596,0.0000591509,0.00001668851,0.000005135309,0.9989606,0.0001459973,0.000710318],"genre_scores_gemma":[0.0005618404,0.0001528021,0.00017045,0.0002361826,0.00002804729,0.0001086956,0.9965237,0.0002616179,0.001956613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4949195,"threshold_uncertainty_score":0.7059426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123535335152309,"score_gpt":0.289212273033584,"score_spread":0.2579769196820609,"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."}}