{"id":"W1538345295","doi":"10.1515/9780804786768","title":"Military Adaptation in Afghanistan","year":2020,"lang":"en","type":"book","venue":"Stanford University Press eBooks","topic":"Military History and Strategy","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Aeronautics; Psychology; Engineering; Neuroscience","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":[0.0004012241,0.0003317859,0.00014374,0.0006223242,0.005756894,0.003059573,0.0004214913,0.0006662389,0.01109869],"category_scores_gemma":[0.0008365992,0.0001370621,0.0001186655,0.001978071,0.003708012,0.001488616,0.002205671,0.001362931,0.00160946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003169526,"about_ca_system_score_gemma":0.001846374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02167206,"about_ca_topic_score_gemma":0.05540427,"domain_scores_codex":[0.9995498,0.0002192776,0.00000660047,0.00002345848,0.00008765228,0.0001132339],"domain_scores_gemma":[0.9998904,0.00004576539,0.000009965236,0.000007931927,0.00001688213,0.00002889758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003618351,0.0000966697,0.002305649,0.0001847279,0.000006079605,0.001710891,0.3309846,0.0004064671,0.0006751211,0.2798791,0.1782698,0.2054446],"study_design_scores_gemma":[0.000002304613,0.00001392877,0.002412141,0.0001060068,0.000001145892,0.0002743157,0.03563955,0.00003737924,0.00005410705,0.004993642,0.9564597,0.000005719934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06650363,0.02078461,0.0003217017,0.01528084,0.001679334,0.00002055884,0.00003997673,0.00004336604,0.895326],"genre_scores_gemma":[0.5145928,0.03402301,0.0004134452,0.004899395,0.0009564338,0.00005704959,0.0001110313,0.00009277176,0.4448541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02167206,"threshold_uncertainty_score":0.04309183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04583927928272742,"score_gpt":0.2316745514658593,"score_spread":0.1858352721831319,"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."}}