{"id":"W3010725566","doi":"10.1139/tcsme-2019-0297","title":"Design and experimental study of the self-adaptive splitting technology of lotus seeds","year":2020,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Chromatography in Natural Products","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lotus; Lotus effect; Process (computing); Mechanism (biology); Computer science; Linkage (software); Position (finance); Point (geometry); Mechanical engineering; Mathematics; Engineering; Physics; Botany; Geometry; Biology","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":[0.00008660767,0.0001070575,0.0001868064,0.00002414575,0.0001136173,0.000003727211,0.000294221,0.000125426,0.000009181788],"category_scores_gemma":[0.00003089838,0.00008454661,0.0002311052,0.0004039384,0.00005677277,0.00003179964,0.00001853584,0.0002482232,2.92691e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009414773,"about_ca_system_score_gemma":0.00009373402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009919804,"about_ca_topic_score_gemma":0.000248269,"domain_scores_codex":[0.9993425,0.000007074985,0.0002191336,0.0001534813,0.0001194285,0.0001583998],"domain_scores_gemma":[0.9994962,0.00007529443,0.0000781433,0.0002235071,0.00004983818,0.00007702137],"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":[0.00002153221,0.0001297701,0.00001887772,0.0003240307,0.0006254805,2.231908e-7,0.004036166,0.01870085,0.9750913,0.0007442715,0.00001991937,0.0002876074],"study_design_scores_gemma":[0.000526742,0.0001304256,0.000008265859,0.0000430502,0.0001300175,0.000003778991,0.003710148,0.04015714,0.9551329,0.00003853601,0.00003072119,0.00008825256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821351,0.0003264081,0.01597706,0.0007030659,0.000110623,0.0006213727,0.00004944713,0.00006690519,0.000009987735],"genre_scores_gemma":[0.9864581,0.00000230432,0.01346745,0.00001453299,0.0000136214,0.00002218995,2.244879e-7,0.00001811376,0.000003494189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02145629,"threshold_uncertainty_score":0.3447711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347721530054396,"score_gpt":0.2062042536548128,"score_spread":0.1927270383542688,"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."}}