{"id":"W7117899418","doi":"10.5979/cha.2023.136_9","title":"Local Case of Making a Yield and Quality Predictive Model for Development of Plucking Plan System","year":2023,"lang":"en","type":"article","venue":"Chagyo Kenkyu Hokoku (Tea Research Journal)","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Coast Mountain College","funders":"","keywords":"Plucking; Yield (engineering); Plan (archaeology); Quality (philosophy); Preventive maintenance","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04783282,0.0002208579,0.0007493208,0.001395153,0.0007622254,0.000228639,0.0008559178,0.0001723627,0.00002697512],"category_scores_gemma":[0.00797853,0.000169359,0.0001773399,0.001485702,0.000531371,0.0004109674,0.0006980409,0.0006383437,0.0000115265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003912344,"about_ca_system_score_gemma":0.0007142898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004639542,"about_ca_topic_score_gemma":0.00004098623,"domain_scores_codex":[0.9924926,0.001288615,0.001845818,0.0006038929,0.002984494,0.0007846126],"domain_scores_gemma":[0.9892731,0.007503434,0.000657921,0.0005168034,0.001682814,0.000365926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008963004,0.0008714048,0.006547186,0.00325504,0.001080208,0.003379222,0.2185623,0.04726401,0.3212394,0.03200254,0.006032438,0.3508032],"study_design_scores_gemma":[0.001223041,0.0005109861,0.000878029,0.0009658887,0.00001650156,0.001077893,0.1171186,0.8160658,0.05667438,0.005005236,0.000177176,0.0002864497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.524163,0.0004886211,0.4736722,0.00007599047,0.0001393871,0.0005984172,0.00006671304,0.00003048067,0.0007651873],"genre_scores_gemma":[0.940671,0.00002518333,0.05875068,0.000008473386,0.00006567009,0.00006830838,0.000001743277,0.00003039968,0.0003785464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7688017,"threshold_uncertainty_score":0.9804565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7253552610965381,"score_gpt":0.5982834395439376,"score_spread":0.1270718215526006,"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."}}