{"id":"W6984863231","doi":"","title":"","year":2021,"lang":"en","type":"other","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Communism; Left-wing politics; Memoir; Ideology; Biography; Front (military); Politics; Beijing","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":[0.0005743735,0.0005880595,0.0004112657,0.001120384,0.006371104,0.008456839,0.000652918,0.001828646,0.3949328],"category_scores_gemma":[0.001474686,0.0002984011,0.0002463502,0.002073908,0.001916541,0.002579635,0.002707403,0.001413376,0.2184789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005700856,"about_ca_system_score_gemma":0.006365169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0480548,"about_ca_topic_score_gemma":0.1722736,"domain_scores_codex":[0.9992561,0.00006785358,0.00002400951,0.0001782219,0.0003463592,0.0001273946],"domain_scores_gemma":[0.9988984,0.00006476312,0.00003746497,0.0001124905,0.0004796367,0.0004071431],"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":[0.00003360435,0.000017247,0.0005088604,0.00009426208,0.000003413222,0.000105331,0.000801306,0.0000430971,0.0006140461,0.0410835,0.8275288,0.1291665],"study_design_scores_gemma":[3.325871e-7,0.000001154697,0.0001244466,0.00001514899,3.562043e-7,0.00002603873,0.0001088762,0.000005211764,0.0000424862,0.000316646,0.9993581,0.000001141696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008827568,0.004728264,0.0005831284,0.007398997,0.002786399,0.00002954307,0.0006897426,0.000239997,0.9826612],"genre_scores_gemma":[0.001990195,0.0006192243,0.000119057,0.0005152185,0.0001253495,0.000006040734,0.0001186497,0.00005153894,0.9964548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6050672,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08102898537155716,"score_gpt":0.4279688274250113,"score_spread":0.3469398420534541,"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."}}