{"id":"W6969155651","doi":"10.5281/zenodo.6568083","title":"Rhogeessa innoxius Thomas 1903","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rostrum; Skull; Subspecies; Dorsum; Cusp (singularity)","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":[0.00007409157,0.0005740501,0.0002311516,0.000985159,0.001247663,0.0003295744,0.0003973377,0.0004786863,0.01999241],"category_scores_gemma":[0.0002363583,0.0002056702,0.0001358757,0.0006127067,0.0007236748,0.0006646804,0.000828353,0.0005119652,0.007630289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004688924,"about_ca_system_score_gemma":0.0003290448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0195864,"about_ca_topic_score_gemma":0.05090529,"domain_scores_codex":[0.9999131,0.000008793785,0.00000615755,0.00002989495,0.00002952469,0.00001246742],"domain_scores_gemma":[0.9999409,0.00001051905,0.00002358585,0.000004923519,0.00001470068,0.000005405386],"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":[0.0005088623,0.0001135502,0.02483577,0.0009214811,0.00006642375,0.004203901,0.005222055,0.001177566,0.03783828,0.01386078,0.07495043,0.8363009],"study_design_scores_gemma":[0.00007371316,0.0001937958,0.2309701,0.0007146341,0.00007413433,0.007727019,0.002528899,0.0004065806,0.002048204,0.001921032,0.7533095,0.00003231143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2139014,0.01561001,0.003810074,0.0009251763,0.0008958111,0.0003818511,0.003632612,0.0007113493,0.7601318],"genre_scores_gemma":[0.8825449,0.004921329,0.003500778,0.0006356662,0.0002538988,0.0001604049,0.002818201,0.00008020128,0.1050847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01999241,"threshold_uncertainty_score":0.0668813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03884572246932094,"score_gpt":0.2328477842094543,"score_spread":0.1940020617401333,"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."}}