{"id":"W6948902574","doi":"10.5061/dryad.j9kd51chr","title":"Spatiotemporal variation in pup abundance and preweaning survival of harbour seals (Phoca vitulina) in the St. Lawrence Estuary, Canada (2023)","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec en Abitibi-Témiscamingue; Université de Sherbrooke","funders":"","keywords":"Nucleofection; Population; TSG101; Proteogenomics; Diafiltration","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":[0.0003107127,0.0001429838,0.0001246628,0.0004858813,0.0004427957,0.0004014009,0.0004258336,0.0002062277,0.0005185468],"category_scores_gemma":[0.0005329385,0.0001574423,0.0002244089,0.0005190357,0.0003744765,0.0001670771,0.0003278442,0.0002016278,0.00008986468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002176848,"about_ca_system_score_gemma":0.001299525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7245364,"about_ca_topic_score_gemma":0.9173503,"domain_scores_codex":[0.9998553,0.00001446452,0.000009277706,0.0000478923,0.00002880461,0.00004415543],"domain_scores_gemma":[0.9994006,0.00005035125,0.0002588014,0.00003005023,0.0001574236,0.0001028218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000228299,0.000007438613,0.9978665,0.000005661282,0.00003786642,0.00003935462,0.0002020831,0.00008507937,0.0006197441,0.00001582094,0.0001125161,0.0009851132],"study_design_scores_gemma":[4.28479e-7,0.000004231716,0.9996481,0.000002037211,0.000004856051,0.00001194108,0.0001436673,0.00008420384,0.00003060097,0.000001996351,0.00006683572,0.000001101135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9993906,0.00006876569,0.00003613241,0.00001657395,0.000001520493,0.000001898373,0.0003115838,0.000002276018,0.0001706589],"genre_scores_gemma":[0.9992322,0.0000622606,0.00005709356,0.00001276237,0.000001434401,0.000003724274,0.0003896864,9.492928e-7,0.0002399091],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2754636,"threshold_uncertainty_score":0.5541718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05987911979440865,"score_gpt":0.3363406419103424,"score_spread":0.2764615221159337,"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."}}