{"id":"W4393449814","doi":"10.5281/zenodo.10324706","title":"Robert Hutchinson Tombstone","year":2015,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medicine and Dermatology Studies History","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007321366,0.001586642,0.001090642,0.004709411,0.0006254176,0.002491599,0.001419503,0.001134318,0.1713948],"category_scores_gemma":[0.006755623,0.0005042244,0.0008036994,0.007343751,0.0002623388,0.001372303,0.001754742,0.001016888,0.2012494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009777769,"about_ca_system_score_gemma":0.002171679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180692,"about_ca_topic_score_gemma":0.03841498,"domain_scores_codex":[0.9992403,0.0001191124,0.00007777007,0.0002815409,0.0001656093,0.0001156973],"domain_scores_gemma":[0.9983712,0.0004611888,0.0002037759,0.0003662377,0.000353557,0.0002440421],"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":[0.00003648531,0.000005444869,0.0007473994,0.0003391177,0.00001261784,0.00001143424,0.000008749679,0.00006637885,0.00002952381,0.0002042237,0.995439,0.003099567],"study_design_scores_gemma":[0.00008583302,0.000008092837,0.002952869,0.0002641618,0.00001503159,0.00004123292,0.00003954403,0.0001326424,0.00009836732,0.0003863671,0.9959646,0.00001114318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001178837,0.0001890362,0.00004785736,0.0001076897,0.00002673785,0.00001069535,0.9976007,0.0003337481,0.001565682],"genre_scores_gemma":[0.0006100315,0.0002207057,0.0002214804,0.00009132792,0.0000157569,0.00005451146,0.996414,0.0001240515,0.002248155],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1713948,"threshold_uncertainty_score":0.5733728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04163749212784476,"score_gpt":0.2871276297966277,"score_spread":0.2454901376687829,"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."}}