{"id":"W6930114526","doi":"10.5281/zenodo.10384297","title":"Stamnodes calcarea Matson 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Nomenclature; Calcification; Etymology; Confusion","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":[0.0002010799,0.0009636543,0.0003607255,0.002345093,0.001956603,0.000778941,0.0007082516,0.0007997436,0.0108362],"category_scores_gemma":[0.0005846621,0.0002845953,0.0002501648,0.001804685,0.0006142422,0.001261922,0.0007413406,0.0008250413,0.00554707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008827804,"about_ca_system_score_gemma":0.0007661618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560167,"about_ca_topic_score_gemma":0.04506342,"domain_scores_codex":[0.9998012,0.00001516311,0.00002702841,0.00007016215,0.00006738881,0.00001913212],"domain_scores_gemma":[0.9997597,0.00004558101,0.0000695806,0.00002844061,0.00006763344,0.00002906538],"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":[0.0005121765,0.0002954153,0.04867048,0.002168934,0.0002004357,0.007925513,0.003113861,0.00291495,0.04179012,0.004801221,0.07381344,0.8137935],"study_design_scores_gemma":[0.0001626903,0.0003115492,0.3616994,0.001601226,0.000352021,0.02235816,0.003967704,0.001911116,0.005978432,0.002338103,0.5992261,0.00009350922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5507021,0.02397731,0.01380217,0.001726162,0.00328464,0.001891788,0.0248045,0.001937504,0.3778738],"genre_scores_gemma":[0.8319181,0.01120179,0.02674442,0.002563425,0.0005421264,0.001032776,0.02882248,0.0002115534,0.09696334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560167,"threshold_uncertainty_score":0.03625077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191932875676624,"score_gpt":0.216777930575467,"score_spread":0.1848586018187008,"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."}}