{"id":"W6931355174","doi":"10.5281/zenodo.4371361","title":"Phoenix dactylifera Linnaeus 1753","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phoenix dactylifera; Phoenix; Taxon; Typification; Genus; Nova scotia","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":[0.0001595866,0.00060912,0.0002106015,0.001208324,0.0008394063,0.0002880578,0.0005264919,0.0002143146,0.01518534],"category_scores_gemma":[0.0001957852,0.0001369072,0.00008647953,0.0007601703,0.0002035234,0.0005821768,0.0006286483,0.000286648,0.003193032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005885322,"about_ca_system_score_gemma":0.0001664398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00883451,"about_ca_topic_score_gemma":0.03423278,"domain_scores_codex":[0.9999208,0.000006221578,0.000005637746,0.00003661199,0.00002141355,0.000009208147],"domain_scores_gemma":[0.9999368,0.0000111862,0.00002163928,0.000005510356,0.00001651979,0.000008274485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004713982,0.000211452,0.07929203,0.0007591413,0.00009517121,0.001172072,0.001178547,0.001000896,0.02951712,0.002696255,0.02587099,0.8577349],"study_design_scores_gemma":[0.00008552876,0.0002745759,0.431895,0.0002922583,0.0001463058,0.004347872,0.001734207,0.0008453091,0.007841718,0.001621316,0.5508782,0.00003771203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5418212,0.01328059,0.008858219,0.0008735785,0.000418371,0.0006546733,0.01410573,0.0008674373,0.4191201],"genre_scores_gemma":[0.9155482,0.005530861,0.01051064,0.0008011697,0.00013942,0.0002224115,0.005690175,0.00004569289,0.06151152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01518534,"threshold_uncertainty_score":0.05079997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3775126711484734,"score_gpt":0.4214203692618032,"score_spread":0.04390769811332973,"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."}}