{"id":"W7147138969","doi":"10.5281/zenodo.19357248","title":"Geothlypis agilis","year":2018,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amazonian; Northern territory; Amazon rainforest; Northern italy; Biogeography","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":[0.00006225528,0.0003455649,0.0001478313,0.001051476,0.0007593391,0.0002582759,0.0002548863,0.0002975562,0.006938698],"category_scores_gemma":[0.00009336959,0.0001092008,0.0001153031,0.0004494726,0.0003823662,0.0003642406,0.0006477624,0.0002567995,0.002279468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191219,"about_ca_system_score_gemma":0.0001291461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003102573,"about_ca_topic_score_gemma":0.009377938,"domain_scores_codex":[0.9999266,0.000007439653,0.000004617095,0.00002965993,0.00001747131,0.00001414782],"domain_scores_gemma":[0.9999367,0.00001037972,0.0000249899,0.000008495011,0.000007395883,0.00001202297],"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":[0.0008102073,0.0003658219,0.2081304,0.001539501,0.0001158738,0.007605498,0.003797427,0.0007315464,0.2134857,0.004661201,0.01525165,0.5435053],"study_design_scores_gemma":[0.00002943197,0.0004404786,0.9038028,0.0003098506,0.00008913583,0.01246472,0.001819757,0.0006590047,0.007126933,0.001438337,0.0717884,0.00003111744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907168,0.004507975,0.001904017,0.0002692442,0.000111684,0.0000853759,0.002254996,0.0006635124,0.08303507],"genre_scores_gemma":[0.9902957,0.0007829793,0.001545402,0.0001567004,0.0000552408,0.0000347403,0.001010344,0.00002088612,0.006097954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006938698,"threshold_uncertainty_score":0.02321225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04589371670561551,"score_gpt":0.2364073641280843,"score_spread":0.1905136474224688,"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."}}