{"id":"W6949926224","doi":"10.5281/zenodo.3691340","title":"Haliplus stagninus Leech 1948","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Leech Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leech; Paratype; Derogation; Paraphernalia; Rhinoceros","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":[0.00007650668,0.0004210442,0.0001975976,0.001180232,0.0009426554,0.0002141549,0.0003070131,0.0001845039,0.015832],"category_scores_gemma":[0.0001091623,0.0001307259,0.0001072914,0.0005612195,0.000390044,0.0003699799,0.0005657001,0.0002849094,0.00698508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006148513,"about_ca_system_score_gemma":0.0002011192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303446,"about_ca_topic_score_gemma":0.02329261,"domain_scores_codex":[0.9999226,0.000005540694,0.000005703777,0.00003255319,0.00001893231,0.00001455561],"domain_scores_gemma":[0.9999348,0.000007035106,0.00002092065,0.000008058884,0.00001670085,0.00001246136],"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":[0.001669454,0.0001245204,0.0749431,0.0006831859,0.0001066104,0.00219318,0.003138764,0.0003641257,0.2822125,0.009196721,0.07950234,0.5458656],"study_design_scores_gemma":[0.00009348843,0.000499822,0.5276765,0.0001368237,0.0000735559,0.002741871,0.0009471993,0.0001373697,0.01148724,0.001029572,0.4551216,0.00005493092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6915147,0.006337626,0.003781049,0.0006785221,0.0004900018,0.0003318605,0.01840462,0.002439543,0.2760221],"genre_scores_gemma":[0.8962851,0.001416679,0.002462108,0.0004333632,0.000114647,0.0001655768,0.01003437,0.0001418841,0.08894627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.015832,"threshold_uncertainty_score":0.05296332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05940145045668366,"score_gpt":0.2725886792544612,"score_spread":0.2131872287977775,"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."}}