{"id":"W6912556649","doi":"10.5281/zenodo.3867786","title":"Leptoiulus gilvicollis Verhoeff 1932","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Habitat; Natural (archaeology); Population","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":[0.0001054667,0.0003090026,0.0001467746,0.0009585579,0.000830038,0.0003319337,0.0003369843,0.0002253876,0.01265938],"category_scores_gemma":[0.0002132972,0.0001093348,0.0001248147,0.0004727014,0.0004182268,0.0003884044,0.0005447982,0.0001815628,0.003531137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004090428,"about_ca_system_score_gemma":0.0001957555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380374,"about_ca_topic_score_gemma":0.02211613,"domain_scores_codex":[0.9998873,0.00001162238,0.000008338462,0.00002502057,0.00003397688,0.00003364386],"domain_scores_gemma":[0.9999081,0.00002015662,0.00003645502,0.000007083281,0.00001557468,0.00001262849],"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":[0.0002806494,0.0001017467,0.07615145,0.0006176564,0.00007246511,0.002515734,0.001391196,0.0007671917,0.0415993,0.009100463,0.02263956,0.8447626],"study_design_scores_gemma":[0.0000566651,0.0002644753,0.5800368,0.0005517929,0.00009071124,0.003930842,0.001444009,0.0005078373,0.007513728,0.003247824,0.4023111,0.00004415928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3165798,0.01174944,0.0033934,0.0003327345,0.0002415518,0.0001624997,0.002988001,0.0003684311,0.664184],"genre_scores_gemma":[0.9557463,0.002452057,0.001543456,0.0002027609,0.000127962,0.00007573571,0.002347644,0.00003024975,0.03747384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01380374,"threshold_uncertainty_score":0.04234982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04595919150459784,"score_gpt":0.22374447801578,"score_spread":0.1777852865111821,"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."}}