{"id":"W6963612884","doi":"10.21966/1.566666","title":"Hakai Institute Juvenile Salmon Program Time Series","year":2015,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; Dalhousie University","funders":"","keywords":"Juvenile; Predation; Fishing; Herring; General partnership; Nest (protein structural motif)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001597359,0.0005943301,0.0005491956,0.003190279,0.000573724,0.001131357,0.001369828,0.0004484111,0.06001418],"category_scores_gemma":[0.005425163,0.0003503027,0.000463771,0.006553307,0.000134753,0.0008446392,0.001297228,0.001098543,0.03287736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545836,"about_ca_system_score_gemma":0.00451251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1577465,"about_ca_topic_score_gemma":0.162929,"domain_scores_codex":[0.9988064,0.0001054624,0.00019763,0.0002420191,0.0004925255,0.0001559364],"domain_scores_gemma":[0.9965373,0.0002434679,0.0004700483,0.0002806781,0.002169871,0.0002985929],"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":[0.0001227677,0.00004265496,0.0291621,0.000286218,0.00006872875,0.00003233977,0.00005931562,0.0003304937,0.00008361047,0.0008997918,0.9471166,0.02179527],"study_design_scores_gemma":[0.0001221115,0.00008316073,0.2327778,0.0003870173,0.00005680824,0.00007112355,0.0003205843,0.001165361,0.0002279886,0.0008644352,0.7638672,0.00005623385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001792941,0.00006821294,0.0003562859,0.0001479413,0.00008987972,0.0001006523,0.992523,0.000251752,0.004669446],"genre_scores_gemma":[0.004950931,0.0001431609,0.0008189727,0.0001163611,0.00003289109,0.0005433263,0.9857167,0.00009925507,0.007578331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1577465,"threshold_uncertainty_score":0.3136567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03110483027062317,"score_gpt":0.2989196487237359,"score_spread":0.2678148184531128,"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."}}