{"id":"W2788926253","doi":"10.21273/horttech03872-17","title":"Blueberry Producers’ Attitudes toward Harvest Mechanization for Fresh Market","year":2018,"lang":"en","type":"article","venue":"HortTechnology","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanization; Economic shortage; Business; Limiting; Quality (philosophy); Postharvest; Agricultural science; Commodity; Agriculture; Agricultural economics; Horticulture; Engineering; Economics; Geography; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000192002,0.00009095443,0.0001047623,0.00002261066,0.0001922928,0.00004129667,0.0002750774,0.0001832828,0.001381748],"category_scores_gemma":[0.0001434312,0.00003951105,0.00003770558,0.0003536497,0.0001419697,0.0000482135,0.00009466683,0.00007912077,0.00005726337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001438079,"about_ca_system_score_gemma":0.000009472526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003809942,"about_ca_topic_score_gemma":0.004346089,"domain_scores_codex":[0.9991279,0.0000216096,0.0001377537,0.0003216605,0.0001204221,0.0002706603],"domain_scores_gemma":[0.9995405,0.00004296277,0.00004828736,0.00008058524,0.0002455396,0.00004212169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001098904,0.0002776381,0.05177086,0.0000327377,0.00006556191,0.000002625609,0.0001014897,6.521112e-7,0.6146706,0.02478489,0.09730581,0.2108772],"study_design_scores_gemma":[0.0002932518,0.001456889,0.3990161,0.00001733641,0.00001459376,0.00001100605,0.0003887837,0.0004323904,0.2342034,0.008711874,0.3550997,0.0003545919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880036,0.00006330583,0.0003876853,0.00930017,0.0001591837,0.0004723066,0.00003120391,0.0001723842,0.00141018],"genre_scores_gemma":[0.9966246,0.00003525898,0.0008704503,0.0002392042,0.000320803,0.0001025707,0.00005006397,0.000001615907,0.001755387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3804672,"threshold_uncertainty_score":0.9995311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207869082926301,"score_gpt":0.2754914921771388,"score_spread":0.2334128013478758,"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."}}