{"id":"W6949007427","doi":"10.5281/zenodo.14597199","title":"Lymaenon cubensis","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Population; Holotype; Pilotage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006227302,0.0002767356,0.000121476,0.0005123616,0.0004025232,0.0002412464,0.0001755041,0.0002177517,0.003189263],"category_scores_gemma":[0.0001248521,0.0001119719,0.00006252533,0.0003289939,0.0002344492,0.0002988333,0.0003776042,0.0002688058,0.00116605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664252,"about_ca_system_score_gemma":0.0001512362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009360032,"about_ca_topic_score_gemma":0.01552454,"domain_scores_codex":[0.9999489,0.000003961857,0.000002413293,0.00002353903,0.00001220154,0.000009044554],"domain_scores_gemma":[0.9999492,0.00000808974,0.00002019497,0.000003857851,0.00001197238,0.000006761114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009338141,0.0001855713,0.1117107,0.001233332,0.00005673938,0.004507857,0.002698142,0.0006701951,0.4917686,0.00426271,0.02311593,0.3588564],"study_design_scores_gemma":[0.0000686877,0.0003264947,0.7099385,0.0003919589,0.00006026893,0.01045167,0.002032502,0.0006497678,0.02041533,0.001896231,0.2537093,0.0000593032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051683,0.01218358,0.002267854,0.0007235067,0.0002360367,0.0002031367,0.004213602,0.0003850525,0.1746189],"genre_scores_gemma":[0.9722586,0.003682771,0.002665297,0.0009732696,0.00004245822,0.00008563841,0.002307726,0.00001571595,0.0179685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009360032,"threshold_uncertainty_score":0.01861113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490136107878259,"score_gpt":0.2360447683838703,"score_spread":0.2111434073050877,"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."}}