{"id":"W4406480698","doi":"10.1016/0967-0653(95)91390-4","title":"10.1016/0967-0653(95)91390-4","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Greenhouse; SIGNAL (programming language); Noise (video); Environmental science; Computer science; Artificial intelligence; Biology; Agronomy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00010551,0.0001274789,0.0001554481,0.000008137917,0.000156464,0.00002899964,0.0003339625,0.0001411327,0.9978887],"category_scores_gemma":[0.00002089425,0.00004985946,0.0000696982,0.0002391544,0.00004676399,0.0000639093,0.00004143194,0.0001132429,0.994922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001177344,"about_ca_system_score_gemma":0.000002620685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003960737,"about_ca_topic_score_gemma":0.000006639932,"domain_scores_codex":[0.9991647,0.00003066125,0.00013898,0.0002428254,0.0001070902,0.0003157444],"domain_scores_gemma":[0.9997057,0.0000605624,0.00002368743,0.00008357767,0.00002562885,0.0001008975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004830545,0.00004492608,0.000001371592,7.547063e-7,0.000007656635,0.000004435449,0.000002585654,0.000001600462,0.002736921,0.000004088461,0.07985043,0.9172969],"study_design_scores_gemma":[0.0001027674,0.0002587893,0.0005929181,0.000005923321,0.000009993943,0.000007085754,0.000002689829,0.00002593707,0.0002313997,0.00004566659,0.9985649,0.0001519043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06831287,0.0001120045,2.502095e-8,0.001864455,0.000001335296,0.0001645878,0.00002734214,0.000444116,0.9290733],"genre_scores_gemma":[0.01102854,0.000001127344,0.000009943446,0.0001274406,0.0001086232,0.00002399344,0.00002620494,0.000001260081,0.9886729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9187145,"threshold_uncertainty_score":0.203321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006820254522317196,"score_gpt":0.1546811925341174,"score_spread":0.1478609380118002,"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."}}