{"id":"W6950447058","doi":"10.5281/zenodo.5931163","title":"Trouessartia progne Mironov & Galloway 2019, sp. n.","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Anterior surface; Shield; Margin (machine learning); Holotype","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":[0.0001392797,0.0005560464,0.0003896076,0.001083374,0.00109863,0.0004274132,0.0006591731,0.0004094597,0.01215077],"category_scores_gemma":[0.0003826888,0.0003200974,0.0002271081,0.0005545652,0.000779378,0.001134103,0.0009954628,0.0007298521,0.003817967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004312238,"about_ca_system_score_gemma":0.0004491878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01342675,"about_ca_topic_score_gemma":0.03358746,"domain_scores_codex":[0.9998878,0.000008853179,0.000009028481,0.00004883689,0.0000273193,0.00001806372],"domain_scores_gemma":[0.999897,0.00001974992,0.00004089831,0.00001336146,0.00001756438,0.00001146804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005973607,0.0001516957,0.02572164,0.001697582,0.0001293085,0.006844151,0.003438235,0.001705649,0.05880652,0.01085986,0.04078457,0.8492634],"study_design_scores_gemma":[0.000200639,0.0003000411,0.2759207,0.0007849428,0.0001890706,0.01538601,0.002546099,0.00120934,0.004339083,0.002387946,0.6966761,0.00005994655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4201068,0.02471039,0.01149137,0.001407505,0.0008999757,0.001161571,0.005822218,0.001557842,0.5328424],"genre_scores_gemma":[0.9216472,0.00457969,0.004438656,0.0006179027,0.0001775452,0.0004164758,0.002976281,0.0001119883,0.06503424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01342675,"threshold_uncertainty_score":0.04064834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546511525928351,"score_gpt":0.2201258565319134,"score_spread":0.2046607412726298,"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."}}