{"id":"W6949815612","doi":"10.5281/zenodo.3867152","title":"Pachypodoiulus eurypus","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Bog; Montane ecology; Distribution (mathematics); Litter; Habitat","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":[0.00007438338,0.0004158581,0.0002013375,0.0008699226,0.0007342205,0.0001920117,0.0003382887,0.0001583744,0.01639699],"category_scores_gemma":[0.000182745,0.0001465176,0.00008804983,0.0005634567,0.000298098,0.0007500388,0.0007423791,0.0002369798,0.00367089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765452,"about_ca_system_score_gemma":0.0001300265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002976858,"about_ca_topic_score_gemma":0.006529016,"domain_scores_codex":[0.99992,0.000006989595,0.000007006292,0.00002905806,0.00002459943,0.00001236614],"domain_scores_gemma":[0.9999193,0.0000118722,0.00003548476,0.000006323921,0.00001204159,0.00001492194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006150428,0.0002086934,0.09165557,0.001003828,0.00009933892,0.002986472,0.001296265,0.0005541869,0.08152354,0.002737575,0.01346334,0.8038561],"study_design_scores_gemma":[0.00004184976,0.0002560815,0.9067361,0.0001796677,0.00005307305,0.005602187,0.0007968743,0.0003757309,0.00292464,0.0005941602,0.08242015,0.00001963076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6599734,0.004459887,0.002604258,0.0002048211,0.0002047301,0.0002964594,0.003935936,0.0003375706,0.327983],"genre_scores_gemma":[0.9805107,0.00116526,0.001862146,0.0001836866,0.0000943959,0.000104942,0.002550049,0.00002654048,0.0135022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01639699,"threshold_uncertainty_score":0.05485344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03889503953355581,"score_gpt":0.2314984756157431,"score_spread":0.1926034360821873,"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."}}