{"id":"W6911513496","doi":"10.5281/zenodo.12572482","title":"All Things Flow Into Form (Fanwu liuxing 凡物流形)","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rubric; Bamboo; STRIPS; Work flow; Subject (documents)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003578874,0.0004364829,0.0001133631,0.0006193778,0.002543469,0.001943464,0.0002443618,0.0004197533,0.02015684],"category_scores_gemma":[0.0003773011,0.0001489404,0.0001604372,0.001030935,0.002297814,0.001477673,0.001108409,0.0007806318,0.00317197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214782,"about_ca_system_score_gemma":0.001544232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171875,"about_ca_topic_score_gemma":0.04514684,"domain_scores_codex":[0.9997838,0.00004735343,0.000009433431,0.0000514565,0.00006186114,0.00004617601],"domain_scores_gemma":[0.9999149,0.00001233533,0.000008495587,0.00001506198,0.00002353347,0.00002574789],"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":[0.0001158464,0.00002597074,0.005814212,0.0005094329,0.00001218873,0.001010173,0.07118672,0.0001422336,0.003906524,0.3170419,0.3581107,0.2421241],"study_design_scores_gemma":[0.000003289807,0.00001350464,0.004550143,0.00004568923,0.000002937489,0.0001319209,0.00220484,0.00003142683,0.0003664162,0.001956562,0.9906879,0.000005463789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08234575,0.008575744,0.004058249,0.01085757,0.004375002,0.0002340893,0.00112191,0.0004378339,0.8879939],"genre_scores_gemma":[0.2925875,0.003071625,0.003235023,0.001909928,0.0005381904,0.0001326528,0.0008811405,0.0001883421,0.6974556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02015684,"threshold_uncertainty_score":0.06743133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04325855622124886,"score_gpt":0.2848415998759054,"score_spread":0.2415830436546565,"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."}}