{"id":"W6968974410","doi":"10.5281/zenodo.5074030","title":"Willemia intermedia","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genus; Intermedia; Taxonomy (biology); Single specimen","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":[0.0001788208,0.001047295,0.0003162309,0.002538537,0.001933933,0.0007394056,0.0005080454,0.0005591532,0.02092027],"category_scores_gemma":[0.0002915935,0.0003022942,0.0002652736,0.0008513871,0.0003699781,0.001040474,0.001344088,0.0006163545,0.01066861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004932341,"about_ca_system_score_gemma":0.0003273411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005307022,"about_ca_topic_score_gemma":0.009439072,"domain_scores_codex":[0.9997773,0.00002422346,0.00001645695,0.00007464648,0.00006245041,0.00004498233],"domain_scores_gemma":[0.9998758,0.00001520623,0.00005160617,0.00001379353,0.0000257254,0.00001787037],"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":[0.0006926695,0.0005351078,0.02076237,0.001668207,0.0001346732,0.004732725,0.003087421,0.0008084084,0.181021,0.02179744,0.04916039,0.7155995],"study_design_scores_gemma":[0.00007102593,0.000443157,0.1194017,0.0004260873,0.0001352522,0.01468468,0.001390775,0.0006028551,0.01522185,0.005573244,0.8419631,0.00008617692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2175835,0.02386859,0.008260387,0.0008931109,0.000722755,0.0007560602,0.003938444,0.001290986,0.7426862],"genre_scores_gemma":[0.8778434,0.005810878,0.006512761,0.001106757,0.0003445516,0.0001881617,0.003025441,0.0000799392,0.1050882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02092027,"threshold_uncertainty_score":0.06998527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434489621381655,"score_gpt":0.1989024133872925,"score_spread":0.174557517173476,"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."}}