{"id":"W6967744286","doi":"10.5281/zenodo.12537402","title":"Neogaster Cernosvitov 1934","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Spermatheca; Seta; Gizzard; Genus; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008610454,0.0005229446,0.0003427514,0.00133122,0.001049971,0.0003396959,0.0005947355,0.000406891,0.004919676],"category_scores_gemma":[0.0003385606,0.0001690524,0.0001802403,0.0006618687,0.0005346256,0.0006286174,0.0009419238,0.0004112839,0.0012889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667182,"about_ca_system_score_gemma":0.0004452615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007463575,"about_ca_topic_score_gemma":0.00703577,"domain_scores_codex":[0.9998544,0.00001405806,0.00001495141,0.00004277823,0.0000526863,0.00002113717],"domain_scores_gemma":[0.9999036,0.00001001412,0.00003813662,0.00001007563,0.00002796418,0.00001015381],"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":[0.0008376858,0.000111204,0.04282342,0.001841818,0.0001017263,0.004158862,0.002290788,0.00225663,0.03622329,0.01407034,0.02606039,0.8692237],"study_design_scores_gemma":[0.0002280646,0.0005398507,0.3240893,0.002402438,0.000211668,0.01736879,0.002299514,0.002091197,0.008293498,0.007780852,0.6346264,0.00006848243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4382231,0.0575653,0.007232551,0.0009377906,0.001755314,0.0006027114,0.003166653,0.0006246245,0.4898919],"genre_scores_gemma":[0.9713544,0.007109514,0.003276706,0.0004905466,0.0001959745,0.0001328507,0.001658133,0.00003360453,0.01574826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007463575,"threshold_uncertainty_score":0.01645797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644022595786585,"score_gpt":0.202967569321788,"score_spread":0.1465273433639222,"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."}}