{"id":"W4393433822","doi":"10.5281/zenodo.3872933","title":"CancerMine","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.0007604537,0.0002781155,0.000469339,0.0004818965,0.001292251,0.0003391921,0.001327294,0.0001874919,0.03733006],"category_scores_gemma":[0.002319811,0.0002500543,0.0001100858,0.001127628,0.0004619997,0.0001152688,0.001351982,0.001035465,0.03432619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170485,"about_ca_system_score_gemma":0.000047581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336768,"about_ca_topic_score_gemma":0.000001589569,"domain_scores_codex":[0.9967645,0.0002068257,0.0003737757,0.0007638781,0.001251498,0.0006395053],"domain_scores_gemma":[0.9972489,0.00003186935,0.0001473459,0.0009022809,0.0008070074,0.0008626065],"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":[0.000167158,0.0001291454,4.176713e-7,0.0004331844,0.00006378568,0.0002880948,0.000156416,8.600761e-7,0.0005586583,0.00003221604,0.9690054,0.02916468],"study_design_scores_gemma":[0.001131641,0.0009053539,0.0001094592,0.0001971372,0.00009532129,0.0005289303,0.0001608536,0.00003564301,0.0001074492,0.00001112207,0.9964951,0.0002219631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001092782,0.0002878226,0.00007444149,0.003616231,0.0003170878,0.0009589723,0.9652271,0.00055036,0.0288587],"genre_scores_gemma":[0.0005330928,0.001417721,0.00005379373,0.001594978,0.001210594,8.495501e-8,0.9922521,0.001028517,0.00190908],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02894271,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0582422044061041,"score_gpt":0.3048021805737314,"score_spread":0.2465599761676273,"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."}}