{"id":"W6893919827","doi":"10.5281/zenodo.6103051","title":"Tanycarpa gracilicornis","year":2015,"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":"Seta; Sulcus; Tarsus (eyelids); Ridge; Antenna (radio); Mandible (arthropod mouthpart)","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":[0.00007431978,0.001025657,0.0002419517,0.001524628,0.0007970291,0.0003422923,0.0004497433,0.0003496278,0.01362939],"category_scores_gemma":[0.0002413326,0.0001946069,0.0001803555,0.000842976,0.0003292886,0.0008294406,0.0006174734,0.0004320875,0.005921128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003307229,"about_ca_system_score_gemma":0.0001974079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004659491,"about_ca_topic_score_gemma":0.01071105,"domain_scores_codex":[0.9999239,0.00001038331,0.000007382737,0.00002719198,0.00001855001,0.00001254163],"domain_scores_gemma":[0.9998817,0.00001516927,0.00004149157,0.00001226862,0.00003336766,0.00001589522],"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":[0.0005853286,0.0001446222,0.02419203,0.001274526,0.0001102159,0.005193095,0.001118967,0.001122416,0.1141326,0.005815397,0.02596106,0.8203498],"study_design_scores_gemma":[0.0001644669,0.0004211505,0.3318059,0.0004407085,0.0001776701,0.01870282,0.001772399,0.001188197,0.01913279,0.002901834,0.6231932,0.00009892412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5150566,0.02458112,0.00822293,0.0009763025,0.001243285,0.0004527518,0.006574023,0.002315451,0.4405775],"genre_scores_gemma":[0.9381015,0.004325573,0.004975038,0.0005800225,0.0002037361,0.0001163836,0.001971828,0.00009986437,0.04962596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01362939,"threshold_uncertainty_score":0.04559481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625465111882146,"score_gpt":0.2252711357158847,"score_spread":0.1627246245276701,"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."}}