{"id":"W7070332059","doi":"","title":"Paranerd - Robot Bank Appreciation [polygon022]","year":2005,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; Liberian dollar; Collectable; Download; Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005421369,0.001153116,0.0005587981,0.001111255,0.001310289,0.003099654,0.001648241,0.001121226,0.6831807],"category_scores_gemma":[0.002106161,0.0004845474,0.0004777432,0.001407197,0.0003453097,0.003102303,0.002890728,0.001391683,0.5420402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006700995,"about_ca_system_score_gemma":0.0008624956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006037015,"about_ca_topic_score_gemma":0.01209356,"domain_scores_codex":[0.9995802,0.00005266427,0.00001679856,0.00007564066,0.0002129338,0.00006174453],"domain_scores_gemma":[0.9992667,0.00007922902,0.0000260429,0.0001688249,0.0002645482,0.0001945636],"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":[0.00008157527,0.00001634019,0.00008953227,0.00004536401,0.000001940213,0.0000706417,0.00004923746,0.0001160114,0.0004721111,0.002379896,0.9192913,0.07738606],"study_design_scores_gemma":[0.00000914993,0.000007867057,0.0001481873,0.00001566362,0.000001392038,0.00007271167,0.00003115835,0.0003290891,0.0003271106,0.0005452725,0.9985042,0.000008166554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008857222,0.0003178708,0.01729783,0.001329434,0.001251546,0.0001408,0.007624437,0.02846002,0.9426923],"genre_scores_gemma":[0.004666705,0.0002508631,0.006069185,0.0004155507,0.0001226696,0.00009460663,0.006971686,0.005645744,0.9757628],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6831807,"threshold_uncertainty_score":0.4519042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006938027279165774,"score_gpt":0.2124284602042369,"score_spread":0.2054904329250711,"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."}}