{"id":"W6893674388","doi":"10.5281/zenodo.3867927","title":"Allajulus infossus","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Woodland; Distribution (mathematics); Habitat; Natural (archaeology); Vegetation (pathology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099453,0.0007037591,0.0002735964,0.002363851,0.001248124,0.0003254575,0.0004337233,0.0002429981,0.01767737],"category_scores_gemma":[0.0002165787,0.0001685451,0.000248529,0.0008257771,0.0003367297,0.000866551,0.00103237,0.0002355658,0.004504352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370006,"about_ca_system_score_gemma":0.0002053618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007693899,"about_ca_topic_score_gemma":0.01132614,"domain_scores_codex":[0.9998505,0.00001173144,0.00001435098,0.00004578456,0.0000387878,0.00003887112],"domain_scores_gemma":[0.9998523,0.00002001402,0.00006656805,0.00001343416,0.00001947295,0.00002824206],"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":[0.001040022,0.0002839632,0.05560491,0.001080027,0.000138314,0.002024897,0.001094842,0.0009654247,0.1439557,0.006547781,0.01384479,0.7734194],"study_design_scores_gemma":[0.00007731052,0.0004528661,0.7395267,0.0003388152,0.0002402972,0.005693227,0.001134012,0.0008394007,0.01112704,0.00195377,0.2385477,0.00006894973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5313194,0.007842243,0.003610977,0.0002026743,0.0003789112,0.0002480045,0.008692414,0.001155281,0.4465501],"genre_scores_gemma":[0.9677359,0.001228875,0.002628855,0.0002308974,0.0001078815,0.00008953815,0.005143242,0.0000698911,0.02276487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767737,"threshold_uncertainty_score":0.05913669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0515879553317348,"score_gpt":0.2268223130358352,"score_spread":0.1752343577041004,"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."}}