{"id":"W6950285092","doi":"10.5281/zenodo.6308121","title":"Oribatella yukonensis Behan-Pelletier & Walter 2012","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Margin (machine learning); Exposition (narrative); Power (physics)","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":[0.00006649587,0.0004777646,0.0002561949,0.0005664255,0.001169374,0.000490505,0.0004626073,0.0004440899,0.003024978],"category_scores_gemma":[0.0001878193,0.0002354319,0.0001651347,0.0007624849,0.0003066261,0.0004770058,0.0009560552,0.0002969729,0.0009226328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008333915,"about_ca_system_score_gemma":0.001358459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1084431,"about_ca_topic_score_gemma":0.2123275,"domain_scores_codex":[0.999907,0.000002414812,0.000007342212,0.00002738297,0.00001827385,0.00003753733],"domain_scores_gemma":[0.9998922,0.000007256787,0.00002030836,0.00001212149,0.00004884903,0.00001923795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001021258,0.00009636085,0.4014291,0.001254502,0.0001642891,0.005791394,0.00789838,0.0009249736,0.2852824,0.001517694,0.007760125,0.2868595],"study_design_scores_gemma":[0.00002683493,0.00006945545,0.9457218,0.0001414477,0.00007472759,0.001511482,0.005066363,0.0001231661,0.00508439,0.0001574824,0.04198948,0.00003334365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465089,0.001975187,0.001116484,0.0001693522,0.0001127455,0.00009109346,0.002547161,0.00008225434,0.0473967],"genre_scores_gemma":[0.9869306,0.0009105249,0.0007742241,0.00009111159,0.00001301898,0.00005706024,0.002032209,0.00001291939,0.009178379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1084431,"threshold_uncertainty_score":0.2156237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383300225779295,"score_gpt":0.1955465381559197,"score_spread":0.1717135358981268,"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."}}