{"id":"W4395117802","doi":"10.1242/dmm.050781","title":"First person – Eli Matsell","year":2024,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"ATP Synthase and ATPases Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005998405,0.001192769,0.001387325,0.001766421,0.004251832,0.00710228,0.001559726,0.0035033,0.3858434],"category_scores_gemma":[0.0484532,0.0006791195,0.0005356021,0.000918471,0.001699351,0.00458387,0.005775026,0.007171155,0.275371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004298443,"about_ca_system_score_gemma":0.007732845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231422,"about_ca_topic_score_gemma":0.003359387,"domain_scores_codex":[0.9915862,0.002087701,0.0004589868,0.001675366,0.003448674,0.0007430692],"domain_scores_gemma":[0.9444138,0.005997983,0.002419757,0.00239655,0.02395944,0.02081252],"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":[0.00004432818,0.00003103292,0.0001537138,0.00009222095,0.000003019264,0.0003125581,0.0007583021,0.00001846122,0.0005111432,0.0009670975,0.9799361,0.01717199],"study_design_scores_gemma":[0.00001004872,0.00001687662,0.0002237572,0.0001143687,0.000001711383,0.0004392346,0.001463063,0.0000586085,0.0001557494,0.0005586527,0.9969406,0.00001731432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.007947608,0.01233757,0.01183567,0.4840607,0.2414708,0.001154247,0.005243651,0.005896315,0.2300534],"genre_scores_gemma":[0.02969168,0.002446436,0.003629624,0.1118633,0.01654854,0.00106777,0.0006863316,0.002397414,0.8316689],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3858434,"threshold_uncertainty_score":0.8760198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694926432073281,"score_gpt":0.2749987873712838,"score_spread":0.248049523050551,"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."}}