{"id":"W2164613236","doi":"10.1242/jeb.079137","title":"CANADA GOOSE EYES ADAPTED TO PRAIRIE LANDSCAPE","year":2012,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Goose; Retina; Adaptation (eye); Streak; Expansive; Optics; Biology; Ecology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110207,0.0001522014,0.0001226646,0.0004191921,0.0007741887,0.0007038209,0.0002052942,0.0002669829,0.002059893],"category_scores_gemma":[0.0005967277,0.00014557,0.000212118,0.0003907441,0.0004171302,0.0002941169,0.0005317833,0.0004874769,0.0002312982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672229,"about_ca_system_score_gemma":0.0007303982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3735729,"about_ca_topic_score_gemma":0.6722753,"domain_scores_codex":[0.9998416,0.000009057221,0.000002679721,0.00004335881,0.0000564835,0.00004685671],"domain_scores_gemma":[0.9996459,0.00002718738,0.00003368148,0.00002269635,0.0002049382,0.00006545354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004897176,0.0001070475,0.5918649,0.0001765823,0.0002359372,0.003525276,0.01085542,0.001051997,0.3271109,0.001330149,0.006310043,0.05694209],"study_design_scores_gemma":[0.000004897153,0.00005170331,0.9895765,0.00001623944,0.00002508257,0.0005991572,0.003051805,0.0002756722,0.002541923,0.0001097448,0.003728129,0.0000191919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934105,0.000133056,0.0001686985,0.0001033341,0.00001013233,0.00001038207,0.000120191,0.00001064282,0.006033018],"genre_scores_gemma":[0.9940105,0.0002180653,0.0004506528,0.0002869896,0.000005380342,0.0000115531,0.0002484925,0.00001753218,0.004750795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6264271,"threshold_uncertainty_score":0.742797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836626892193345,"score_gpt":0.2522181894282155,"score_spread":0.213851920506282,"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."}}