{"id":"W7006158631","doi":"","title":"8th CCLA Annual Meeting/ Le congrès annuel de l’ACLC: Université Laval, 1976","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":"Selection (genetic algorithm); Productivity; Economic shortage; Sugar cane","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":[0.0007975181,0.00118969,0.000695186,0.002056175,0.002830412,0.005040488,0.001258437,0.002312931,0.5032037],"category_scores_gemma":[0.002759329,0.000527866,0.0006696676,0.001953295,0.001150973,0.002287169,0.002651076,0.002257402,0.2409642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006447302,"about_ca_system_score_gemma":0.008442645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09833095,"about_ca_topic_score_gemma":0.1893923,"domain_scores_codex":[0.9992515,0.0001081895,0.00004531172,0.0001136879,0.000284591,0.0001967133],"domain_scores_gemma":[0.9984776,0.0001868332,0.00005309599,0.0001174796,0.0006844138,0.000480536],"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":[0.00009040876,0.00005190451,0.000472436,0.00006294771,0.000005691309,0.00007125867,0.00003895158,0.0001185241,0.0001436134,0.003021482,0.9656169,0.03030595],"study_design_scores_gemma":[0.00001487264,0.000008138682,0.001125902,0.00008135343,0.000002938833,0.00003968231,0.00004967987,0.0000828273,0.0001430318,0.0004669142,0.9979778,0.000006857499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004408536,0.02094163,0.001569295,0.03457435,0.02075661,0.0001703351,0.01494196,0.001101404,0.9015359],"genre_scores_gemma":[0.00374025,0.002645934,0.0005963348,0.0003697773,0.0009111735,0.00005586605,0.001751434,0.0003685363,0.9895608],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5032037,"threshold_uncertainty_score":0.7086196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028375570553533,"score_gpt":0.1584952475908547,"score_spread":0.1482114918853194,"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."}}