{"id":"W2033990553","doi":"10.1126/sageke.2003.26.nf13","title":"Science on the Fly","year":2003,"lang":"en","type":"article","venue":"Science of Aging Knowledge Environment","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Biologist; Longevity; Tatar; Biology; Geneticist; Reproduction; Ecology; Zoology; Genetics","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":[0.0007446273,0.0005569187,0.0003876773,0.0007134601,0.001153396,0.00211126,0.0004168554,0.00172669,0.06410972],"category_scores_gemma":[0.002774808,0.0001488217,0.0002912973,0.0004957772,0.001478843,0.002400294,0.001540732,0.002544336,0.02375012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009095143,"about_ca_system_score_gemma":0.0008904456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004184989,"about_ca_topic_score_gemma":0.008838549,"domain_scores_codex":[0.9995135,0.00009555404,0.00002493948,0.00008744338,0.000214465,0.000064101],"domain_scores_gemma":[0.9992091,0.0001530138,0.00005197262,0.000103296,0.0002231737,0.0002594278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006020074,0.00002661388,0.001099398,0.0001747134,0.00002384725,0.0001142499,0.0002672308,0.00004629289,0.001268464,0.0327522,0.7425497,0.2216171],"study_design_scores_gemma":[0.000004282409,0.00001114126,0.0005125818,0.00006967193,0.00000311969,0.00005264141,0.00007326576,0.000006570053,0.00007303665,0.003265341,0.9959261,0.000002259662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006126362,0.144433,0.002874044,0.240889,0.0311925,0.00006681988,0.001769796,0.0008715877,0.5717769],"genre_scores_gemma":[0.06593536,0.1380549,0.005056695,0.147498,0.01341007,0.0001390279,0.002019562,0.0002779154,0.6276084],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06410972,"threshold_uncertainty_score":0.2144684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550612493720639,"score_gpt":0.2526505592017535,"score_spread":0.2271444342645471,"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."}}