{"id":"W7084766565","doi":"10.5281/zenodo.5949204","title":"You're Collating Just Fine and Other Lies You've Been Telling Yourself","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Collation; Scope (computer science); Variation (astronomy); Sample (material); Mistake","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":[0.02947855,0.001550353,0.001264553,0.006031512,0.006101262,0.00680798,0.001958302,0.001532907,0.02500141],"category_scores_gemma":[0.1813567,0.000655796,0.0008542121,0.00464571,0.005342372,0.008928807,0.007282928,0.003713377,0.01469889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624974,"about_ca_system_score_gemma":0.003717173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088385,"about_ca_topic_score_gemma":0.002148934,"domain_scores_codex":[0.9666266,0.01716642,0.002646416,0.003148017,0.009835167,0.0005773721],"domain_scores_gemma":[0.797306,0.1136122,0.0106863,0.03876656,0.03602463,0.003604218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000623988,0.0001460718,0.007331779,0.002416314,0.0002229109,0.002559928,0.1000509,0.0008443081,0.01386164,0.09197743,0.2926604,0.4873043],"study_design_scores_gemma":[0.00002929032,0.0001393653,0.002441333,0.001233329,0.00008766535,0.00154265,0.02359051,0.001811979,0.006618386,0.06607015,0.8962626,0.0001726326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.07526462,0.006720161,0.6255713,0.06860212,0.0487676,0.001964206,0.004756486,0.006526018,0.1618276],"genre_scores_gemma":[0.3546629,0.006452889,0.4329395,0.01287728,0.02080915,0.001782645,0.004066095,0.009111118,0.1572985],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02947855,"threshold_uncertainty_score":0.1558993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0593383366627443,"score_gpt":0.2468644740705032,"score_spread":0.1875261374077589,"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."}}