{"id":"W7024919006","doi":"","title":"26th CCLA Annual Meeting/ Le congrès annuel de l’ACLC: University of Calgary, 1994","year":2020,"lang":"fr","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Elaeis guineensis; Outbreak; Economic shortage; Selection (genetic algorithm)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001257188,0.001256826,0.0007947239,0.001917565,0.003184177,0.005498704,0.001539746,0.002803075,0.4969345],"category_scores_gemma":[0.003315302,0.0005822198,0.000607916,0.001934155,0.001204465,0.002045198,0.003518436,0.002743086,0.2355448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008601044,"about_ca_system_score_gemma":0.01204579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1890687,"about_ca_topic_score_gemma":0.3845519,"domain_scores_codex":[0.9991079,0.00009239742,0.00004681259,0.0001332311,0.0003156032,0.0003040623],"domain_scores_gemma":[0.9977117,0.0001747786,0.00006706564,0.0001498534,0.001238692,0.0006578832],"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":[0.00006747506,0.00003659966,0.0003628913,0.00005015363,0.00000382153,0.00004966254,0.00004706472,0.00007050968,0.00008372082,0.001119428,0.9701465,0.02796215],"study_design_scores_gemma":[0.00001767513,0.000009083647,0.001655714,0.00009244666,0.000004391258,0.00002278392,0.0001338851,0.00006732504,0.0001146038,0.0003755759,0.9974995,0.000007031975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00527965,0.01968403,0.001825759,0.04875628,0.02558601,0.0003466026,0.01356304,0.001300967,0.8836576],"genre_scores_gemma":[0.003307431,0.002604773,0.0006245332,0.000657071,0.0007424148,0.0000577449,0.002096143,0.0002942714,0.9896157],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4969345,"threshold_uncertainty_score":0.7175618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048802902796211,"score_gpt":0.1581354086984908,"score_spread":0.1476473796705287,"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."}}