{"id":"W7052241675","doi":"","title":"Poecile atricapilla","year":2005,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Margin (machine learning); Period (music)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005356675,0.0002712253,0.0002951978,0.00006698957,0.00001664516,0.00002969541,0.000196034,0.0002443729,0.3412465],"category_scores_gemma":[0.00001203346,0.000291462,0.0001101545,0.000007182446,0.00002584581,1.113431e-7,0.00003403325,0.0002171303,0.01745363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004537196,"about_ca_system_score_gemma":0.000005646325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005058004,"about_ca_topic_score_gemma":0.00008788658,"domain_scores_codex":[0.9991259,0.000007729193,0.0003195514,0.00009572855,0.0002152619,0.0002358559],"domain_scores_gemma":[0.9994962,0.00002652957,0.00009930279,0.0002582383,0.00003163769,0.00008815238],"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":[0.000002776147,0.000007883167,1.194987e-7,0.0003094804,0.00005413843,0.000003649813,0.00002871501,0.005585271,0.000001525108,0.0000483181,0.9872048,0.006753314],"study_design_scores_gemma":[0.0001560754,0.00001776736,0.000001736136,0.0001045574,0.00002234014,0.00001357936,0.00001038583,0.0004923806,0.000006912378,0.000001543261,0.9988753,0.0002974166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001098264,0.0006767552,0.000001413289,0.00001139126,0.0003260292,0.0001423483,0.00008453449,0.0006221735,0.9981244],"genre_scores_gemma":[0.001250447,0.0006506543,0.0006806823,0.00002797564,0.000399558,0.000004956754,0.00007412339,0.000280686,0.9966309],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3237929,"threshold_uncertainty_score":0.9999537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003265770014241938,"score_gpt":0.1518497207131084,"score_spread":0.1485839506988664,"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."}}