{"id":"W7039650790","doi":"","title":"Mb Canada Post Birds","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":[0.0002088204,0.0003336512,0.0003728443,0.00007684471,0.0000869036,0.0001049072,0.0007327033,0.0002812137,0.1127586],"category_scores_gemma":[0.00007294787,0.0003280506,0.0001110704,0.00001209232,0.00006540375,2.971323e-7,0.0001929581,0.0002631935,0.004633669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009378055,"about_ca_system_score_gemma":0.0002068789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6459555,"about_ca_topic_score_gemma":0.3704937,"domain_scores_codex":[0.9982324,0.00006281598,0.0004973797,0.0002235257,0.0005412128,0.0004426203],"domain_scores_gemma":[0.9983295,0.00008663457,0.0005019648,0.0007195213,0.0001647054,0.0001976837],"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":[0.000005068973,0.00001533161,0.000001774406,0.0001958073,0.00003141362,0.00001792529,0.00008682389,0.00008499661,4.47975e-7,0.0001234358,0.9932976,0.006139336],"study_design_scores_gemma":[0.0001810391,0.00003879027,0.000007848235,0.0001809156,0.00001955405,0.0001184878,0.00003664055,0.00007295108,0.00001906991,0.000002526192,0.9989652,0.0003569862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001737094,0.0004670647,0.00001301751,0.0002912291,0.0009272962,0.00020445,0.0000701282,0.0002812291,0.9977282],"genre_scores_gemma":[0.001552827,0.00003913602,0.002902811,0.0006569658,0.0002374776,0.000005346342,0.000055036,0.00009471088,0.9944557],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2754618,"threshold_uncertainty_score":0.9999171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004042749023674013,"score_gpt":0.161993126579181,"score_spread":0.1579503775555069,"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."}}