{"id":"W6948426627","doi":"10.5281/zenodo.10912498","title":"HTR Model Palatinus graecus 23 (Meleagre-NFC)","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Ground truth; Scratch; Digital preservation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004836916,0.001614574,0.0005103401,0.001550885,0.0005126828,0.0012825,0.001704976,0.001354696,0.03383167],"category_scores_gemma":[0.002070947,0.0004012025,0.001261755,0.0008010662,0.0003810141,0.001323195,0.0007231999,0.001830707,0.03046294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772138,"about_ca_system_score_gemma":0.001305453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03795346,"about_ca_topic_score_gemma":0.04489681,"domain_scores_codex":[0.9996511,0.00003781834,0.00001871326,0.0001781576,0.0000638477,0.00005032033],"domain_scores_gemma":[0.9994647,0.0001655067,0.00002684097,0.00008518987,0.0002284368,0.00002946808],"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":[0.0005899948,0.0002256744,0.007780749,0.0008833417,0.000280074,0.0006456249,0.0002925704,0.08356497,0.009177345,0.005128876,0.4900841,0.4013466],"study_design_scores_gemma":[0.0001408915,0.0002043643,0.01296781,0.0003516048,0.000184024,0.000703954,0.0003155305,0.7252103,0.01450887,0.006771316,0.2385457,0.00009558617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2484547,0.008244327,0.1158938,0.00553778,0.003928645,0.001341462,0.3491778,0.140917,0.1265046],"genre_scores_gemma":[0.4074104,0.001339905,0.08735815,0.001316578,0.0003923368,0.001031525,0.3955268,0.005151206,0.1004732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03795346,"threshold_uncertainty_score":0.1131782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06489082332077836,"score_gpt":0.2079892124422065,"score_spread":0.1430983891214281,"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."}}