{"id":"W7016240665","doi":"","title":"Your best friend at Taipei 101: a big steel ball","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Phytochemicals and Medicinal Plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008367802,0.0001408131,0.0002678103,0.0000513618,0.00005316393,0.000006087936,0.00008629667,0.00009871461,0.0004608736],"category_scores_gemma":[0.0001060885,0.0001100906,0.00007181292,0.0001125667,0.00007413197,0.00003029482,0.00005428365,0.0001952398,0.0005849703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342024,"about_ca_system_score_gemma":0.0001191128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002882033,"about_ca_topic_score_gemma":0.00001782879,"domain_scores_codex":[0.9988959,0.000006821944,0.000183456,0.0002439944,0.0003327946,0.0003370307],"domain_scores_gemma":[0.9992687,0.00002240858,0.00004551051,0.0002681898,0.00004980772,0.0003453499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002784988,0.0003037968,0.001591192,0.00008778663,0.00004235898,0.0004033942,0.0004108872,0.000001020124,0.9801558,0.0003390838,0.007266495,0.009119662],"study_design_scores_gemma":[0.01465649,0.001721997,0.01319789,0.001500533,0.0004518499,0.001748086,0.0009122745,0.00004590628,0.5740036,0.008358631,0.382736,0.0006667688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8247769,0.0002034747,0.00004402125,0.002165949,0.0002009026,0.0001918772,0.00001852759,0.00004623613,0.1723521],"genre_scores_gemma":[0.9907301,0.00008818151,0.0009612345,0.001323194,0.0005814885,0.00001506802,0.00003756123,0.0000196585,0.006243488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4061522,"threshold_uncertainty_score":0.7518805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03588293925068341,"score_gpt":0.2845317334714413,"score_spread":0.2486487942207579,"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."}}