{"id":"W7018777358","doi":"","title":"Episode #65: BACK FROM THE MONTH OFF- Roasted by Jimmy Skinner","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comedy; Favourite; Code (set theory); Nothing; Clothing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001631894,0.0003835419,0.0004161219,0.00003343775,0.00004182407,0.00005703827,0.0005628541,0.0005720897,0.1379001],"category_scores_gemma":[0.00008971446,0.0003095878,0.0002737269,0.000008719412,0.0001416231,3.395874e-8,0.0002176414,0.0002267641,0.009287654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001891433,"about_ca_system_score_gemma":0.00002501842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030422,"about_ca_topic_score_gemma":0.00225493,"domain_scores_codex":[0.9984338,0.0001055236,0.0005523336,0.0003294553,0.0003090873,0.000269746],"domain_scores_gemma":[0.9981817,0.00004733092,0.0006028095,0.0009643539,0.0001341992,0.00006960337],"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":[0.00005691668,0.00003834254,0.000008495337,0.00005978804,0.0002021249,0.000002095954,0.00002249718,0.00002702527,0.0001515926,0.000001097304,0.9977136,0.001716397],"study_design_scores_gemma":[0.0004021558,0.0001079321,0.000005213346,0.000087177,0.0001025624,0.000008444696,0.00003579997,0.00001796213,0.00163473,0.000002340963,0.9972434,0.0003522484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001138249,0.002302729,0.000005557684,0.0001750934,0.00006825571,0.0004768575,0.0003026792,0.00005893571,0.9964961],"genre_scores_gemma":[0.0005735055,0.001303028,0.0007007868,0.0008782275,0.0002207406,0.00001807574,0.00276573,0.0001531006,0.9933868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1286125,"threshold_uncertainty_score":0.9999356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003063569470341752,"score_gpt":0.1809846584129475,"score_spread":0.1779210889426057,"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."}}