{"id":"W4402581958","doi":"10.1038/s44319-024-00247-x","title":"Espressogate","year":2024,"lang":"es","type":"article","venue":"EMBO Reports","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Biology","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"],"consensus_categories":[],"category_scores_codex":[0.0001987966,0.0002584415,0.0002589317,0.0002930924,0.00006144866,0.0003052827,0.0001798335,0.0002571168,0.0004583706],"category_scores_gemma":[0.0003267195,0.0002565875,0.0001282114,0.0005562531,0.0001075661,0.000233368,0.0002002844,0.0007584252,0.0006733692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197636,"about_ca_system_score_gemma":0.00004631971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001580767,"about_ca_topic_score_gemma":0.00000107888,"domain_scores_codex":[0.9979979,0.00001800588,0.0004364562,0.0005344112,0.0004135839,0.0005996425],"domain_scores_gemma":[0.9987925,0.000112446,0.00003586673,0.0009077066,0.0000470104,0.0001044801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001740747,0.0000888245,0.00273571,0.005302521,0.0009700399,0.2198344,0.0004957795,0.05708488,0.1723906,0.03404525,0.05981781,0.4472167],"study_design_scores_gemma":[0.00004572137,0.00004102869,0.0006994727,0.0005920568,0.00003399378,0.00136555,0.00004882271,0.0206113,0.07025852,0.006510083,0.8993511,0.0004423582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5947146,0.06837508,0.008457447,0.001806925,0.008505632,0.0009566247,0.00004552522,0.01332868,0.3038095],"genre_scores_gemma":[0.9894502,0.001650471,0.001224214,0.000008097091,0.0002529819,0.00003043389,0.000008284779,0.000123951,0.007251323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8395333,"threshold_uncertainty_score":0.9999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398319695074369,"score_gpt":0.299141949773566,"score_spread":0.2851587528228223,"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."}}