{"id":"W6981949638","doi":"","title":"81 FRAGS in AMERICAN COUNTERATTACK | Hell Let Loose | WW2 50vs50 FPS","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterattack; Battle; Variety (cybernetics); Jungle; Battlefield; White (mutation); Absolute (philosophy)","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":["insufficient_payload"],"category_scores_codex":[0.0004566984,0.001523396,0.0006058487,0.001243503,0.004095911,0.003406596,0.0008582016,0.001799587,0.76665],"category_scores_gemma":[0.001392867,0.0004857521,0.0005382659,0.0009182203,0.0005198182,0.002777008,0.004002017,0.001813958,0.5573553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009532466,"about_ca_system_score_gemma":0.0006436323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287346,"about_ca_topic_score_gemma":0.03971574,"domain_scores_codex":[0.9996506,0.00003066427,0.000008660354,0.00004020215,0.0001464346,0.0001233462],"domain_scores_gemma":[0.9993279,0.00005906704,0.00001763608,0.00005603657,0.0002601221,0.0002791598],"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":[0.00004217445,0.00001514199,0.0001228212,0.00002473418,9.185867e-7,0.0000490801,0.00008979959,0.00001369944,0.000201701,0.0004015627,0.9862041,0.01283419],"study_design_scores_gemma":[0.000006764237,0.00001563698,0.001060617,0.00007738543,0.000002047386,0.00006278965,0.0003043109,0.0001140481,0.0002264764,0.0001750683,0.997947,0.000007872091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003352555,0.0003637199,0.00133215,0.00202814,0.005291807,0.0002053836,0.007124244,0.009962533,0.9703394],"genre_scores_gemma":[0.01248857,0.0003742561,0.000896678,0.001080185,0.0007359104,0.0001979651,0.005431362,0.002615549,0.9761795],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.23335,"threshold_uncertainty_score":0.3328454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007705391374906556,"score_gpt":0.2643662310487362,"score_spread":0.2566608396738296,"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."}}