{"id":"W6931476518","doi":"10.5281/zenodo.6369170","title":"Sulcella baisuzhena Guillam & Forel & Song & Crasquin 2022, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carapace; Holotype; China; Paratype; Genus","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":[0.0002311862,0.00122226,0.0005806133,0.002234255,0.00202569,0.0007552174,0.0007817772,0.001186596,0.02027474],"category_scores_gemma":[0.0006321344,0.0003303587,0.0003118038,0.002308331,0.0009912098,0.00179297,0.0009604238,0.001049607,0.008946698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272011,"about_ca_system_score_gemma":0.001177306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03076161,"about_ca_topic_score_gemma":0.05943409,"domain_scores_codex":[0.9998065,0.00001661513,0.00002118491,0.00007328815,0.00005614929,0.00002632857],"domain_scores_gemma":[0.9997523,0.00003838131,0.0000657663,0.00003337349,0.00007607048,0.00003408379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006542967,0.0001826741,0.03997381,0.002945488,0.0002546184,0.004119145,0.002356651,0.002255659,0.01888905,0.005856116,0.134158,0.7883544],"study_design_scores_gemma":[0.0002773635,0.0001922163,0.1656068,0.001323075,0.0003502267,0.00442595,0.002450973,0.001348541,0.0023248,0.00188304,0.8197476,0.00006945995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2403171,0.04672281,0.01300432,0.004272078,0.004712768,0.003083728,0.04465238,0.002695422,0.6405393],"genre_scores_gemma":[0.771803,0.02555473,0.02188501,0.005601569,0.0009859632,0.002500328,0.04010437,0.000405079,0.1311601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03076161,"threshold_uncertainty_score":0.06782573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137486983292247,"score_gpt":0.2605146161927414,"score_spread":0.2291397463598189,"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."}}