{"id":"W6910773154","doi":"10.5061/dryad.1g1jwstwx","title":"Divorce in Northern Flickers","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Woodpecker; Population; Seasonal breeder; Reproductive success; Competition (biology); Sexual selection; Reproduction; Mate choice","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":[0.0002607815,0.00009705505,0.000187426,0.0004188154,0.000548985,0.0002823227,0.0001964155,0.0002920765,0.001132741],"category_scores_gemma":[0.001352451,0.0001109312,0.0002156155,0.0002428343,0.0003802202,0.0001953617,0.0005269744,0.0002516341,0.00009943802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005395578,"about_ca_system_score_gemma":0.000201773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116331,"about_ca_topic_score_gemma":0.02671169,"domain_scores_codex":[0.9997584,0.00005243143,0.00001570398,0.00006504961,0.00005573872,0.00005262591],"domain_scores_gemma":[0.9993656,0.0001106355,0.0002928306,0.00003496699,0.00004130855,0.0001546599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001190992,0.00003655569,0.9918275,0.000008442173,0.00002669136,0.0004834052,0.0004284843,0.00005711457,0.001376741,0.00004088331,0.00006556416,0.005529492],"study_design_scores_gemma":[0.000002650495,0.00007481036,0.9983944,0.00000231151,0.000007775157,0.0007410141,0.0004107999,0.00008246699,0.0001101937,0.00003649838,0.0001337243,0.000003305397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9997464,0.00008945605,0.00002579843,0.00001107032,0.000001265398,0.000001381683,0.00001378994,0.000001009826,0.0001097108],"genre_scores_gemma":[0.999754,0.00004344707,0.00002655033,0.00001247433,0.000001806422,0.000001414246,0.00004076829,5.714582e-7,0.0001189235],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01116331,"threshold_uncertainty_score":0.02219671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04314961928554865,"score_gpt":0.3315432721477623,"score_spread":0.2883936528622136,"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."}}