{"id":"W6892572627","doi":"10.5281/zenodo.10406198","title":"Scipopus (Parascipopus) manifestus Lindsay & Marshall 2023, subgen. et comb. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant and fungal interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Data collection; Context (archaeology); Holotype; Iceberg","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":[0.0002194714,0.001207365,0.000395296,0.002534863,0.002099385,0.0006058961,0.0008026345,0.0007654061,0.01136547],"category_scores_gemma":[0.0007123239,0.0003055551,0.0002791803,0.001754868,0.001185426,0.001898704,0.001110186,0.001017049,0.007982986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200698,"about_ca_system_score_gemma":0.000944908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022648,"about_ca_topic_score_gemma":0.04426591,"domain_scores_codex":[0.9997362,0.00002281832,0.00003458087,0.00008405481,0.00009332946,0.00002895108],"domain_scores_gemma":[0.9996118,0.00005946255,0.0001348627,0.00003712536,0.0001082119,0.00004858239],"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":[0.0007575257,0.0002385332,0.04298487,0.001589556,0.0002741084,0.004553819,0.002055582,0.001850189,0.02269426,0.005970523,0.06839426,0.8486367],"study_design_scores_gemma":[0.0003135247,0.0005027701,0.3603111,0.001297832,0.0004898049,0.01622427,0.003354877,0.001765514,0.004394971,0.003465949,0.6077776,0.000101831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3512461,0.03446714,0.01743571,0.002228237,0.003989817,0.003253717,0.03452219,0.001571398,0.5512857],"genre_scores_gemma":[0.8879308,0.0140561,0.0165519,0.002358916,0.0009251426,0.00122986,0.02065369,0.0001686642,0.05612491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.022648,"threshold_uncertainty_score":0.04503238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07002891132548535,"score_gpt":0.2632321860114388,"score_spread":0.1932032746859535,"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."}}