{"id":"W6961388876","doi":"10.14288/1.0225721","title":"Empress of Japan : duplicate statement of tickets sold","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statement (logic); Government (linguistics); Work (physics)","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":[0.001529563,0.0008265951,0.0005645969,0.00238932,0.003107599,0.001899928,0.001016729,0.001902398,0.2158525],"category_scores_gemma":[0.01375906,0.0005452972,0.0002541739,0.00276143,0.000423583,0.001697555,0.002186504,0.00188602,0.09821603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578698,"about_ca_system_score_gemma":0.002207085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893532,"about_ca_topic_score_gemma":0.02115677,"domain_scores_codex":[0.9980597,0.0002347213,0.0002456501,0.000196071,0.000922956,0.0003408562],"domain_scores_gemma":[0.9881697,0.001450625,0.001409166,0.0009394636,0.007028484,0.001002672],"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":[0.0001721435,0.00001811272,0.0008485186,0.00006372042,0.000004105691,0.0001513133,0.0001397904,0.0000216941,0.0002615848,0.0003177644,0.9908994,0.007101829],"study_design_scores_gemma":[0.00002881006,0.00002992494,0.008090056,0.0001386011,0.000009520675,0.0002987141,0.001093206,0.0002205642,0.0008593188,0.0002899931,0.9888988,0.00004250386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04061741,0.002263302,0.003607667,0.06366571,0.08822054,0.001208869,0.183111,0.002942054,0.6143636],"genre_scores_gemma":[0.06247386,0.001308256,0.002647378,0.01199355,0.007969449,0.0007063784,0.06414802,0.001586687,0.8471664],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2158525,"threshold_uncertainty_score":0.7220985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03928482442523069,"score_gpt":0.2610445993136845,"score_spread":0.2217597748884538,"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."}}