{"id":"W6950261195","doi":"10.5281/zenodo.6059895","title":"Meteorus versicolor Wesmael 1835","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Natural enemies; Animal ecology; Distribution (mathematics); Taxonomy (biology)","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":[0.00008796221,0.0007634036,0.0003344491,0.001655155,0.001287484,0.0006013474,0.0003625327,0.0003109856,0.008307391],"category_scores_gemma":[0.0002726098,0.0001546995,0.0001396845,0.001298779,0.0003828012,0.0008323313,0.0004809448,0.0003855683,0.002644939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084446,"about_ca_system_score_gemma":0.0002811846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408783,"about_ca_topic_score_gemma":0.0216979,"domain_scores_codex":[0.9998623,0.000007851567,0.00001318102,0.00005157679,0.00004232173,0.00002265111],"domain_scores_gemma":[0.9998944,0.00001455458,0.00005142294,0.000006299169,0.00001807753,0.00001525651],"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":[0.0005188669,0.0001475313,0.1150707,0.0009843797,0.000152011,0.00668061,0.002180013,0.002066862,0.04260825,0.003656593,0.03061875,0.7953154],"study_design_scores_gemma":[0.00005540197,0.0001685102,0.5496407,0.0004047913,0.0001010104,0.005858119,0.001803053,0.0005391785,0.003556592,0.001322616,0.436508,0.0000420186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6172138,0.0292845,0.00302716,0.0004546602,0.001130025,0.0002493782,0.01038688,0.0007149525,0.3375387],"genre_scores_gemma":[0.9696707,0.003426171,0.001536409,0.000141508,0.0002145334,0.00004869582,0.004529204,0.00002841031,0.02040426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01408783,"threshold_uncertainty_score":0.02801168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296522560201716,"score_gpt":0.2041017824248098,"score_spread":0.1611365568227926,"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."}}