{"id":"W7028859539","doi":"","title":"Fascism &amp; Antifa Episode 4: Digging at the historical roots","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Liberalism; Victory; Militarism; Boom","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":[],"category_scores_codex":[0.0008309741,0.0004288921,0.0002074423,0.0008564836,0.02033161,0.005492753,0.0007197961,0.002624631,0.02674468],"category_scores_gemma":[0.002192977,0.0003527933,0.0001892922,0.001020162,0.005258454,0.001967392,0.002470783,0.004667094,0.003251632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01611429,"about_ca_system_score_gemma":0.006999936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.570467,"about_ca_topic_score_gemma":0.8385676,"domain_scores_codex":[0.998634,0.0002151652,0.00001633046,0.0001111908,0.0003644451,0.0006589211],"domain_scores_gemma":[0.998962,0.0002014899,0.00007435501,0.00004431032,0.0002943623,0.0004234542],"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":[0.00008483561,0.0000157126,0.002107424,0.0001016847,0.000006934756,0.001248271,0.07539064,0.00004698266,0.0006551869,0.06627407,0.8206585,0.03340974],"study_design_scores_gemma":[0.000001686657,0.000003002561,0.001557539,0.00003808696,0.000001108794,0.00008999254,0.009140461,0.000006797564,0.0001101824,0.0002397218,0.9888066,0.000004960202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05665907,0.01035407,0.0008875502,0.1078193,0.007513819,0.00006659662,0.0004673046,0.0001705595,0.8160617],"genre_scores_gemma":[0.2966237,0.002627517,0.0003180476,0.02506777,0.0009245099,0.00004880984,0.0002340557,0.0002668607,0.6738888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9732553,"threshold_uncertainty_score":0.8641253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00555861079503997,"score_gpt":0.1794132686380971,"score_spread":0.1738546578430571,"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."}}