{"id":"W4403979562","doi":"10.5206/mt.v4i3.21093","title":"The Extended Watson—Wong—Wyman Lemma in Maple","year":2024,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Maple; Watson; Lemma (botany); Mathematics; Computer science; Botany; Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003505787,0.0009427296,0.001071061,0.001426862,0.001062947,0.002894073,0.001837365,0.0009998012,0.0109465],"category_scores_gemma":[0.01141389,0.0007709516,0.001698987,0.002086887,0.00274111,0.007073491,0.002612098,0.004845529,0.00478583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00079551,"about_ca_system_score_gemma":0.001077907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982137,"about_ca_topic_score_gemma":0.001571934,"domain_scores_codex":[0.9981732,0.0004977508,0.0001300845,0.0002606587,0.000719382,0.0002188595],"domain_scores_gemma":[0.9971972,0.001425364,0.0001571928,0.0005446767,0.0005787297,0.00009693429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005833123,0.00002300402,0.0002748757,0.0001000992,0.00002623552,0.0002160421,0.0001609912,0.009730588,0.002154245,0.9321298,0.009585006,0.04554078],"study_design_scores_gemma":[0.00003799605,0.00003915517,0.0001978716,0.00005650725,0.00002396431,0.0002079624,0.00002999984,0.08220031,0.005118687,0.8658438,0.04619439,0.00004935932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005355554,0.0005220538,0.968106,0.0006891859,0.0003361501,0.0000552109,0.0001620674,0.0007531556,0.02402062],"genre_scores_gemma":[0.1883951,0.001785677,0.7798848,0.001515284,0.0008198456,0.0008014278,0.0003565485,0.003002774,0.02343854],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0109465,"threshold_uncertainty_score":0.03661972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607905670076865,"score_gpt":0.2840969718976853,"score_spread":0.2680179151969167,"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."}}