{"id":"W6929803342","doi":"10.5281/zenodo.10406158","title":"Scipopus (Scipopus) calocephalus MYCRO","year":2023,"lang":"en","type":"article","venue":"Open MIND","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Type locality; Frit; Paratype; Type (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005793834,0.0001324554,0.0001567511,0.0001041638,0.0001997999,0.0007695983,0.002281645,0.00006946462,0.0002253312],"category_scores_gemma":[0.00004477547,0.0001226527,0.00004347158,0.000829813,0.0000449284,0.0004715038,0.001188695,0.0001343281,0.00662951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414848,"about_ca_system_score_gemma":0.0001629404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000972511,"about_ca_topic_score_gemma":0.00004022908,"domain_scores_codex":[0.9985582,0.00005147856,0.0002048865,0.0005370548,0.0002609647,0.0003874672],"domain_scores_gemma":[0.9989986,0.00003867398,0.00005315746,0.0006876259,0.00006479782,0.0001571243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008150347,0.00004911662,0.0001759291,0.000004395039,0.00001638401,0.00009895476,0.001350712,0.000771768,0.001209022,0.004604816,0.01525927,0.9764515],"study_design_scores_gemma":[0.001349265,0.0003959887,0.003092242,0.0001626893,0.00002460889,0.0001019458,0.0002645575,0.5968544,0.01941409,0.02087757,0.3560957,0.001366999],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3260369,0.0002031791,0.5446286,0.005948132,0.002270262,0.0007321337,0.00002485616,0.0001478873,0.1200081],"genre_scores_gemma":[0.9413131,0.00001881626,0.04551103,0.0002495859,0.00009953192,0.00002094068,0.00001063322,0.00001409298,0.01276227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9750845,"threshold_uncertainty_score":0.994144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0995058536929315,"score_gpt":0.3501670977370646,"score_spread":0.2506612440441331,"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."}}