{"id":"W7056400242","doi":"","title":"Episode 93 - The Armenian Army","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Armenian; George (robot); 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":[0.0005348473,0.0006907004,0.0003490026,0.000574681,0.007868855,0.00609912,0.000691609,0.002939623,0.1707148],"category_scores_gemma":[0.001517303,0.0003178747,0.0002914251,0.001081858,0.0006430703,0.002106434,0.003880126,0.004278629,0.06416642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004153109,"about_ca_system_score_gemma":0.002151016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08530221,"about_ca_topic_score_gemma":0.1999985,"domain_scores_codex":[0.9992817,0.00007253813,0.00001919424,0.00007184428,0.0001864736,0.0003683417],"domain_scores_gemma":[0.9997649,0.0000203467,0.00001638787,0.00002029147,0.00004494095,0.0001330994],"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":[0.0000499837,0.00001699246,0.0003737854,0.00004698602,0.000003101716,0.0003600646,0.001587476,0.00004764909,0.0001139,0.009705658,0.9715874,0.01610706],"study_design_scores_gemma":[0.000003073406,0.000005523343,0.00118585,0.0000572712,8.746476e-7,0.00006855616,0.00101302,0.00001449795,0.00004734276,0.0003388148,0.997262,0.000003229166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009200604,0.001413265,0.0002873426,0.00854739,0.004084205,0.00007762606,0.003770501,0.0002670712,0.9723518],"genre_scores_gemma":[0.04766668,0.0009190437,0.0002109929,0.006951674,0.0006721636,0.00009959086,0.002606669,0.0002480638,0.9406253],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1707148,"threshold_uncertainty_score":0.571098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006058503442908329,"score_gpt":0.1943579927829092,"score_spread":0.1882994893400008,"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."}}