{"id":"W6906522265","doi":"10.17895/ices.pub.25682811","title":"Microsatellite Population Genetics and Juvenile Skeena Sockeye Migration","year":2015,"lang":"en","type":"other","venue":"Open MIND","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spawn (biology); Tributary; Juvenile; Population; Microsatellite; Phenology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002324274,0.0001293065,0.00006590071,0.0006226695,0.0002092457,0.0002548723,0.000127816,0.000111814,0.004753593],"category_scores_gemma":[0.0005337554,0.00005910283,0.00009150316,0.0006919697,0.0001563684,0.0001487143,0.0001290701,0.00007055418,0.0004803357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028813,"about_ca_system_score_gemma":0.0002815593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388334,"about_ca_topic_score_gemma":0.03427376,"domain_scores_codex":[0.9999334,0.00001606037,0.000006623702,0.00002090424,0.00001411341,0.000008945423],"domain_scores_gemma":[0.9997583,0.00005986773,0.00007067044,0.000009279558,0.00006771013,0.00003416851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001823138,0.00007701392,0.8569497,0.0001461696,0.0001228096,0.0006783394,0.001066108,0.001655011,0.03460061,0.002153678,0.004273314,0.09809493],"study_design_scores_gemma":[0.000006509436,0.00005770724,0.9921964,0.00002812247,0.00001772012,0.0002308855,0.0003996269,0.0005998653,0.0007312878,0.0003464357,0.005377778,0.000007501095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9878722,0.0007271955,0.0009439016,0.00009455278,0.00001902495,0.00000778404,0.0008900519,0.00001706495,0.009428121],"genre_scores_gemma":[0.9876694,0.0004314135,0.000651155,0.00002619915,0.000008737217,0.00001202331,0.001214928,0.00001118241,0.00997505],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01388334,"threshold_uncertainty_score":0.02760506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783136000505055,"score_gpt":0.2857358865580966,"score_spread":0.2479045265530461,"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."}}