{"id":"W2896424483","doi":"10.1242/bio.033332","title":"Hybridization between char species (<i>Salvelinus alpinus</i> and <i>Salvelinus fontinalis</i>): a fast track for novel allometric trajectories","year":2018,"lang":"en","type":"article","venue":"Biology Open","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Biodome; Université Laval; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Salvelinus; Fontinalis; Arctic char; Biology; Allometry; Track (disk drive); Char; Zoology; Evolutionary biology; Ecology; Fishery; Computer science; Fish <Actinopterygii>; Trout; Engineering; Chemical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004838767,0.0002304655,0.0003717975,0.00007913939,0.0003995158,0.0000677431,0.0006085685,0.0002391931,0.0007677158],"category_scores_gemma":[0.0001318579,0.0002026354,0.00006344712,0.0003279739,0.000947608,0.000329953,0.0004620111,0.0001180443,0.0002245144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006076082,"about_ca_system_score_gemma":0.00002646528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414747,"about_ca_topic_score_gemma":0.0005652565,"domain_scores_codex":[0.9984511,0.00005825528,0.0003387637,0.0006097155,0.00008675791,0.0004553809],"domain_scores_gemma":[0.9992587,0.0001668205,0.0001690559,0.0002464232,0.00003934481,0.0001196512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009588963,0.0001350612,0.9346837,0.000006922453,0.00003644651,0.000002001587,0.0002663879,5.346892e-7,0.04309954,0.0001226894,0.003258488,0.01829231],"study_design_scores_gemma":[0.001097141,0.0006890377,0.8894495,0.000005513588,0.0000808037,0.00001717125,0.00007895022,0.00001082005,0.02093946,0.0001759472,0.0871617,0.000293985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870126,0.00005598744,0.008993157,0.0003956233,0.0003826174,0.001112626,0.0003270146,0.00005187068,0.001668548],"genre_scores_gemma":[0.9916643,0.00002512282,0.004404149,0.0005239907,0.0004169441,0.0001349936,0.0001430293,0.00002563234,0.002661854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08390322,"threshold_uncertainty_score":0.8405949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04304276654309855,"score_gpt":0.2977594675932256,"score_spread":0.2547167010501271,"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."}}