{"id":"W3033028469","doi":"10.36227/techrxiv.12083982.v1","title":"Control Environment Gardening","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Humidity; Work (physics); Measure (data warehouse); Environmental science; Track (disk drive); Computer science; Agricultural engineering; Meteorology; Engineering; Geography; Operating system; Mechanical engineering; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001899393,0.0006315103,0.0004631233,0.0003978515,0.0003542739,0.000919827,0.0007873459,0.0003669163,0.016304],"category_scores_gemma":[0.0005230266,0.0001777558,0.0003628779,0.0002847006,0.0003260122,0.0006986856,0.0009714207,0.0004060537,0.003123793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520673,"about_ca_system_score_gemma":0.0002729649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00219917,"about_ca_topic_score_gemma":0.003619346,"domain_scores_codex":[0.9996668,0.00002578437,0.00001010044,0.0001475468,0.0001004644,0.00004927591],"domain_scores_gemma":[0.9997506,0.00005892865,0.00002232818,0.00008101701,0.00005472864,0.00003245182],"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":[0.001070168,0.0003194438,0.004534037,0.0006630894,0.00008420707,0.0006176967,0.0003988358,0.07173089,0.257883,0.02197472,0.02092544,0.6197984],"study_design_scores_gemma":[0.0002370119,0.0007273157,0.01290834,0.0001152995,0.0001232495,0.0006746878,0.0002829315,0.5008534,0.1751435,0.02219193,0.2866156,0.0001266726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07745101,0.0007077791,0.8150068,0.0001912467,0.0004817258,0.0002807771,0.001259281,0.02566363,0.0789578],"genre_scores_gemma":[0.853049,0.0005516665,0.07733104,0.0001680135,0.00008226113,0.0001861198,0.001408012,0.001064491,0.06615944],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.016304,"threshold_uncertainty_score":0.05454224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03903414940794864,"score_gpt":0.2449177261317305,"score_spread":0.2058835767237818,"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."}}