{"id":"W6960841742","doi":"10.14288/1.0372022","title":"Sophie Germain","year":2018,"lang":"en","type":"other","venue":"Open Collections","topic":"Berberine and alkaloids research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Identity (music); Relevance (law); Variety (cybernetics); Field (mathematics); History of science","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":[0.0009003149,0.000667325,0.0005277221,0.001320741,0.003111229,0.002236439,0.0004583465,0.001473605,0.08556799],"category_scores_gemma":[0.00349504,0.0002089853,0.0003099836,0.0003886151,0.001041435,0.001760725,0.001543212,0.002088499,0.0389695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169682,"about_ca_system_score_gemma":0.001650412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006952969,"about_ca_topic_score_gemma":0.00794216,"domain_scores_codex":[0.9991004,0.0002254713,0.000031741,0.0002308966,0.0002994471,0.0001120039],"domain_scores_gemma":[0.9987502,0.0002362239,0.00006423207,0.00005003711,0.0004791205,0.0004202077],"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":[0.000037149,0.00002617615,0.0005620929,0.00008610475,0.000005123085,0.0003000388,0.0006123597,0.00003442333,0.0002513425,0.0108772,0.9459574,0.04125058],"study_design_scores_gemma":[0.00000201836,0.000009808108,0.0004880307,0.00006052835,0.00000170291,0.000496607,0.0002798117,0.00002334417,0.0001599767,0.0007736704,0.9976994,0.000005066865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01124292,0.06811136,0.003088952,0.2737963,0.05760303,0.00008970303,0.001238554,0.001144146,0.5836849],"genre_scores_gemma":[0.07145248,0.01788234,0.001583115,0.03925041,0.01421762,0.00007352242,0.0004272095,0.0004468256,0.8546665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08556799,"threshold_uncertainty_score":0.2862534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844524089686361,"score_gpt":0.3605243954566161,"score_spread":0.3220791545597525,"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."}}