{"id":"W6906634815","doi":"10.17632/d4wzd3mf9b","title":"MIGRATORY SONGBIRDS EXHIBIT SEASONAL MODULATION OF THE OXYGEN CASCADE","year":2023,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Songbird; Phenotypic plasticity; Hypoxia (environmental); photoperiodism; Cascade; Phenotype","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001796563,0.0006364891,0.0006878486,0.0002986761,0.0002091001,0.00008343319,0.00626832,0.0005795312,0.0002871435],"category_scores_gemma":[0.0007540683,0.0005049231,0.0001886463,0.00110475,0.0002383,0.0004754508,0.005019958,0.0009790704,0.01376776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142198,"about_ca_system_score_gemma":0.0007838811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00361101,"about_ca_topic_score_gemma":0.009402817,"domain_scores_codex":[0.9945985,0.0005217248,0.0008217536,0.001356282,0.002037267,0.0006644718],"domain_scores_gemma":[0.9897234,0.0001841795,0.0009117672,0.008840592,0.0001684028,0.0001716816],"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":[0.00003728367,0.0001042343,0.00006945055,0.0002407706,0.0002891776,0.00001876391,0.00002073304,0.0001011043,0.0006972297,0.000006930147,0.9981555,0.0002587912],"study_design_scores_gemma":[0.0004324519,0.00001996869,0.004991456,0.0002893667,0.0004013231,0.00001580962,0.0000447832,0.00314111,0.0001291735,0.00006397854,0.9899612,0.0005093984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007425291,0.000426489,0.00000609715,0.0001476351,0.0009432046,0.0007196757,0.9968041,0.0001817566,0.00002852029],"genre_scores_gemma":[0.0004474976,0.0001476912,0.00008418407,0.00009890102,0.0006432418,0.0000501024,0.9978058,0.0002375239,0.0004850748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01348062,"threshold_uncertainty_score":0.9997402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07519569869570346,"score_gpt":0.313159235235538,"score_spread":0.2379635365398345,"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."}}