{"id":"W6931085178","doi":"10.5281/zenodo.3790691","title":"Gyrinus affinis Aube 1838","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Nova Scotia Hospital","funders":"","keywords":"Habitat; Nova scotia; Lake ecosystem; River ecosystem; STREAMS","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00007974834,0.0003929088,0.0003537197,0.0008801574,0.001393923,0.0003991174,0.0001649054,0.0003981201,0.005502689],"category_scores_gemma":[0.0002282204,0.00009545995,0.00008872621,0.0006088502,0.000459731,0.0004693544,0.0004476131,0.0002579729,0.001877214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121735,"about_ca_system_score_gemma":0.0001865634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028229,"about_ca_topic_score_gemma":0.05172953,"domain_scores_codex":[0.9998795,0.00001449428,0.00001001431,0.00004285332,0.00003213471,0.00002093452],"domain_scores_gemma":[0.9999148,0.00001465276,0.00003320847,0.000006731812,0.00001597406,0.00001462467],"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":[0.001284575,0.0001758844,0.3001549,0.001217697,0.00007059616,0.008009047,0.01023568,0.001286996,0.1197299,0.005399319,0.02289319,0.5295423],"study_design_scores_gemma":[0.00002041556,0.0001640639,0.744499,0.0002192858,0.00003135149,0.00558198,0.002286241,0.0003092656,0.003062176,0.0006445009,0.2431571,0.00002462136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8798418,0.01215448,0.002254106,0.0005129891,0.0004028216,0.0001291537,0.001764761,0.0002729374,0.1026669],"genre_scores_gemma":[0.982375,0.001904314,0.002649619,0.0002504802,0.00006646415,0.00003336298,0.001138996,0.0000145741,0.01156722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02028229,"threshold_uncertainty_score":0.0403285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371446289964723,"score_gpt":0.2757310148320088,"score_spread":0.2385863858355365,"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."}}