{"id":"W6912932445","doi":"10.5281/zenodo.8110994","title":"Pipizella annulata","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rivière-du-Loup","funders":"","keywords":"Context (archaeology); Yield (engineering); Line (geometry)","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":[0.0000855804,0.0005287147,0.0002144434,0.000872599,0.0005874677,0.000272096,0.0003117661,0.0002282532,0.01512941],"category_scores_gemma":[0.0001402268,0.0001606931,0.0001893702,0.0004338422,0.0002444206,0.0006727537,0.0005311506,0.0004636987,0.004292606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003211385,"about_ca_system_score_gemma":0.0001486975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004616668,"about_ca_topic_score_gemma":0.006234472,"domain_scores_codex":[0.9999446,0.000003166819,0.00000325556,0.00002546234,0.00001217913,0.00001146434],"domain_scores_gemma":[0.9999366,0.00001055088,0.00001936383,0.000009915433,0.00001322213,0.00001039245],"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":[0.001192273,0.0002455731,0.02535148,0.001686276,0.00009683859,0.002083417,0.001232333,0.001613296,0.3245638,0.007749571,0.04014927,0.5940358],"study_design_scores_gemma":[0.00006400771,0.0004777591,0.4536342,0.0002605413,0.0001496955,0.005422237,0.0005475221,0.001433304,0.02532418,0.001581061,0.5110572,0.00004828856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4766008,0.00942982,0.008421716,0.0005882112,0.0003199452,0.0002605311,0.008696603,0.002249226,0.4934332],"genre_scores_gemma":[0.9298301,0.002417342,0.003216251,0.000614022,0.00009791987,0.0001146316,0.004348054,0.0001162264,0.05924546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01512941,"threshold_uncertainty_score":0.05061293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204259201859706,"score_gpt":0.2276318826388061,"score_spread":0.1855892906202091,"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."}}