{"id":"W7005923162","doi":"","title":"The soldiers' general Bert Hoffmeister at war","year":2005,"lang":"en","type":"other","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victory; Officer; Front (military); Reputation; World War II; Mainland","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":[0.0002010933,0.0007378458,0.0001902944,0.0006254123,0.002221221,0.002334862,0.0004896834,0.001085221,0.1471249],"category_scores_gemma":[0.0004355949,0.000244442,0.0001552779,0.0004207889,0.0008754385,0.001562598,0.0008708636,0.001567563,0.05774321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563327,"about_ca_system_score_gemma":0.0009870887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01632282,"about_ca_topic_score_gemma":0.06022387,"domain_scores_codex":[0.9998841,0.00001257563,0.000002668002,0.00002639834,0.00004632727,0.00002794951],"domain_scores_gemma":[0.9998591,0.0000201888,0.000005958697,0.000008622244,0.0000327876,0.00007338735],"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":[0.000008679985,0.000006663552,0.0001050716,0.00002377893,5.103904e-7,0.00005707092,0.0001481963,0.00003014326,0.000207085,0.005119536,0.9667045,0.0275887],"study_design_scores_gemma":[5.753377e-7,0.000002495814,0.0001745853,0.00002134096,3.121754e-7,0.00007311882,0.0001098147,0.00001421066,0.00006852304,0.000282384,0.9992511,0.000001420715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002455464,0.03751417,0.001740929,0.02907468,0.009309177,0.00003308681,0.0003067523,0.001023643,0.918542],"genre_scores_gemma":[0.002797493,0.003219564,0.0001955685,0.001341453,0.0002227519,0.000004556598,0.00004739624,0.00007196115,0.9920994],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1471249,"threshold_uncertainty_score":0.492182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003391150400659869,"score_gpt":0.2387785573088231,"score_spread":0.2353874069081633,"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."}}