{"id":"W6950289138","doi":"10.5281/zenodo.5929774","title":"Scaeva (Scaeva) pyrastri","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Musca; Arable land; Larva; Wadi; Type (biology)","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":[0.0000942784,0.0006505458,0.0002955815,0.0009485274,0.001196804,0.0004708598,0.0003541521,0.0003729445,0.005860236],"category_scores_gemma":[0.0002327883,0.0001299342,0.0001910844,0.0005124276,0.0002282606,0.0007149949,0.0007649146,0.0003751878,0.003194649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309611,"about_ca_system_score_gemma":0.0001655866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001564,"about_ca_topic_score_gemma":0.01987185,"domain_scores_codex":[0.9998692,0.00001131693,0.000009855656,0.00005231008,0.00003467686,0.00002255812],"domain_scores_gemma":[0.9999104,0.00001086008,0.00003420671,0.0000110129,0.00001958083,0.00001405129],"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":[0.000510274,0.0003569653,0.1650753,0.0008528494,0.0001883029,0.007912302,0.003244017,0.001238362,0.1374692,0.003591766,0.03167986,0.6478807],"study_design_scores_gemma":[0.000056292,0.0003653574,0.6870592,0.0002133485,0.00006360878,0.009157734,0.0007904352,0.0006672433,0.004109117,0.0008879769,0.2966003,0.00002943565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.761489,0.01504815,0.003660915,0.0007967739,0.000230025,0.0003561913,0.004064362,0.001517655,0.2128369],"genre_scores_gemma":[0.9614011,0.002422153,0.001945154,0.0004135287,0.00007782818,0.00007302188,0.002638822,0.00003527479,0.03099324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001564,"threshold_uncertainty_score":0.01991469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209442102943664,"score_gpt":0.2031517282989094,"score_spread":0.1810573072694728,"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."}}