{"id":"W6961065607","doi":"10.14288/1.0218495","title":"Chinese Village Vancouver","year":2015,"lang":"en","type":"other","venue":"Open Collections","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); China; Work (physics); Field (mathematics); Feature (linguistics)","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":[0.0001966863,0.0008490421,0.0003861134,0.00128751,0.004795483,0.002013584,0.0006971858,0.0004689959,0.4556162],"category_scores_gemma":[0.0005200402,0.0002989957,0.0001881096,0.002185889,0.0005094674,0.0005182459,0.001439724,0.0008268448,0.1697177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002477007,"about_ca_system_score_gemma":0.00470793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2631082,"about_ca_topic_score_gemma":0.6947934,"domain_scores_codex":[0.999747,0.0000180933,0.000005281694,0.00006688863,0.00009204935,0.00007083103],"domain_scores_gemma":[0.9995645,0.00002876039,0.00001358401,0.00004076433,0.0002185461,0.0001339234],"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":[0.0001437183,0.00008346971,0.004127068,0.0002027327,0.00001044389,0.0005191501,0.0003412497,0.000271742,0.0007762056,0.008295461,0.8367311,0.1484977],"study_design_scores_gemma":[0.00001599848,0.00001348406,0.01228387,0.00004929333,0.000003798854,0.00009774098,0.0004785179,0.0001771845,0.0003647693,0.0007246172,0.9857808,0.000009846216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004594026,0.000324883,0.0003031291,0.0001189343,0.0001139395,0.00007799446,0.006979317,0.0003117994,0.987176],"genre_scores_gemma":[0.005438073,0.0001661941,0.0002046998,0.00003916549,0.000007779355,0.0000217775,0.001867031,0.0001099778,0.9921452],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7368919,"threshold_uncertainty_score":0.7764975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152318015082635,"score_gpt":0.226420462567405,"score_spread":0.2111886610591415,"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."}}