{"id":"W4392459422","doi":"10.1353/psg.2023.a920287","title":"Hold On Magnolia","year":2023,"lang":"en","type":"article","venue":"Prairie schooner","topic":"Magnolia and Illicium research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnoliaceae; Biology; Botany","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000294176,0.0001181632,0.0001745158,0.000255364,0.00007838784,0.0000298357,0.0001072935,0.0000869898,0.001345286],"category_scores_gemma":[0.0004579516,0.00009009048,0.00008203217,0.0006359017,0.00006248515,0.00006657508,0.00006379491,0.0004008166,0.01956048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003219685,"about_ca_system_score_gemma":0.00008377353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003252362,"about_ca_topic_score_gemma":0.000005600175,"domain_scores_codex":[0.9986146,0.00003415877,0.0001437628,0.0002727598,0.0005098879,0.0004248057],"domain_scores_gemma":[0.9991347,0.00007826638,0.00002068033,0.0004340689,0.00008286333,0.000249385],"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":[0.0002233592,0.0001384358,0.03480734,0.00009258966,0.00003981014,0.0003860813,0.00008394125,0.000006079114,0.01370047,0.003006213,0.9330177,0.01449793],"study_design_scores_gemma":[0.001342855,0.0004759437,0.3246664,0.00007576303,0.00002342792,0.00002624854,0.0000766313,0.0004019353,0.00711927,0.0005775149,0.6650485,0.0001655296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7754064,0.00007632268,0.00001081962,0.04647243,0.0002954152,0.000393582,0.000009190378,0.0004670644,0.1768688],"genre_scores_gemma":[0.8591628,0.00006503554,0.00007666522,0.002132874,0.0004109559,0.00005929369,0.00003199436,0.0000342982,0.1380261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.289859,"threshold_uncertainty_score":0.9995676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06699532521530102,"score_gpt":0.3645836391038363,"score_spread":0.2975883138885352,"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."}}