{"id":"W6983238092","doi":"","title":"Low Acreage & Special Crops Sub-Committee 2005","year":2014,"lang":"en","type":"report","venue":"The Atrium (University of Guelph)","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pickling; Plant production; Crop production; Irrigation; Crop yield","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001161814,0.000319581,0.0004887478,0.0001186134,0.0003014765,0.00001942754,0.001589936,0.0005902264,0.0004312235],"category_scores_gemma":[0.0003053597,0.0003135661,0.0004371792,0.0001654147,0.0007706886,0.000008804227,0.001186629,0.0006087304,0.0002386049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014091,"about_ca_system_score_gemma":0.0007459178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004258113,"about_ca_topic_score_gemma":0.002644985,"domain_scores_codex":[0.9976177,0.0002246729,0.0002250902,0.0005677518,0.0008287404,0.000536048],"domain_scores_gemma":[0.9973584,0.00008218944,0.0004217802,0.001466705,0.0005198938,0.0001510094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004313983,0.0001335864,0.0008043839,0.0004275602,0.0004168678,0.00005117027,0.0001330612,0.0000738776,0.2305083,0.00004911393,0.7599347,0.007036009],"study_design_scores_gemma":[0.0004587916,0.0001287415,0.004649353,0.00005019805,0.000127798,0.00005200916,0.0001736,0.000006133939,0.003814847,0.00009860994,0.9900781,0.0003618211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338138,0.009661209,0.01483476,0.002665763,0.00419862,0.001839859,0.001036129,0.0001058909,0.3318439],"genre_scores_gemma":[0.8629931,0.01356646,0.001233743,0.00006158619,0.008542931,0.000001045244,0.0009804794,0.0001055724,0.1125151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2301434,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422754807936682,"score_gpt":0.2814615533594738,"score_spread":0.2572340052801069,"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."}}