{"id":"W6923621158","doi":"10.14288/1.0205007","title":"UBC Institute of Fisheries Field Record B.C. 65-758","year":2013,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gasterosteus; Trout; Field (mathematics); Fish <Actinopterygii>; Fisheries Research","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":[0.0004451087,0.00110079,0.0008034644,0.004022933,0.002467834,0.001941352,0.001332409,0.0006280476,0.3963163],"category_scores_gemma":[0.001321784,0.0006247691,0.0002249331,0.007232459,0.0004052443,0.001114269,0.000890867,0.001262111,0.3016641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006110024,"about_ca_system_score_gemma":0.005557578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6042847,"about_ca_topic_score_gemma":0.7722247,"domain_scores_codex":[0.999335,0.00002661315,0.00004766221,0.0001671382,0.0003440764,0.00007947797],"domain_scores_gemma":[0.9981247,0.00008026307,0.0001364352,0.0001355099,0.001366022,0.000156954],"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":[0.0001149081,0.00005821257,0.003691789,0.0001744951,0.00001235288,0.00003980292,0.00002147435,0.00008817467,0.0002615653,0.0006013182,0.9351283,0.05980752],"study_design_scores_gemma":[0.00004874467,0.00002388625,0.05157132,0.0003449516,0.00001776144,0.000071197,0.0000853938,0.0003977806,0.0004909771,0.0002409737,0.9466722,0.00003484386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003703147,0.001339354,0.0002697121,0.0005355044,0.0006092211,0.0001516507,0.5469923,0.0005848695,0.4458143],"genre_scores_gemma":[0.02195357,0.002358085,0.001928787,0.0003256483,0.0001380138,0.0002389133,0.2592139,0.0004206329,0.7134224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3963163,"threshold_uncertainty_score":0.8610815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901197934541187,"score_gpt":0.27105593395456,"score_spread":0.2420439546091481,"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."}}