{"id":"W7066018387","doi":"","title":"The Green Zone - Mario Alford, Saskatchewan Roughriders","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Natural (archaeology); Government (linguistics)","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":[0.0003032809,0.000580303,0.0002446813,0.0005717537,0.003664212,0.001986436,0.0007746945,0.0007739636,0.2042756],"category_scores_gemma":[0.0004790024,0.000455675,0.0002856691,0.001244688,0.000478424,0.0006086929,0.001681114,0.0008970663,0.03753982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004975903,"about_ca_system_score_gemma":0.02033106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.818511,"about_ca_topic_score_gemma":0.9667268,"domain_scores_codex":[0.9998259,0.0000109198,0.000004016081,0.00003721507,0.0000459585,0.00007596776],"domain_scores_gemma":[0.9995925,0.00003803005,0.00001547983,0.00003760552,0.0001456741,0.0001706334],"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":[0.0003104055,0.0001004402,0.009853883,0.0002097591,0.0000248646,0.0009582455,0.001082171,0.0004221642,0.002836572,0.005999013,0.8571391,0.1210634],"study_design_scores_gemma":[0.00002158398,0.00002017643,0.02932519,0.0001088618,0.000006630854,0.00006831824,0.001982576,0.0001334181,0.0005575265,0.0004518207,0.9673049,0.00001890766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05081324,0.003352697,0.0007407627,0.005749979,0.001037837,0.0002847619,0.02620216,0.0008918899,0.9109266],"genre_scores_gemma":[0.009757028,0.0005501657,0.0003743386,0.0002811759,0.000009578429,0.00002292501,0.001493348,0.0001029529,0.9874085],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.818511,"threshold_uncertainty_score":0.6833699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005062681583018157,"score_gpt":0.1826577629635515,"score_spread":0.1775950813805334,"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."}}