{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001720841,0.0001265558,0.0003414273,0.00004427925,0.0002301954,0.0001056401,0.0007056395,0.0001232171,0.0001313135],"category_scores_gemma":[0.0007291629,0.0001025422,0.00001769961,0.0004721044,0.0001647095,0.0001124929,0.0002153376,0.0002669563,0.00003292815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002970026,"about_ca_system_score_gemma":0.0009367969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9750732,"about_ca_topic_score_gemma":0.9985724,"domain_scores_codex":[0.9981115,0.000446656,0.0003129199,0.0002821935,0.0005390974,0.0003075901],"domain_scores_gemma":[0.9988089,0.00076909,0.000158148,0.0001593786,0.00003694664,0.00006759955],"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":[0.00001734042,0.00005110262,0.001600271,0.00004430476,0.00001363096,0.00004570887,0.004746564,0.000006342735,6.349736e-7,0.0003765117,0.9917071,0.001390458],"study_design_scores_gemma":[0.0001304576,0.00002731885,0.02047815,0.0000978946,0.00001192249,1.179539e-7,0.0009539175,0.000006670273,4.836331e-7,0.0002282248,0.9779351,0.0001297318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01190255,0.0003267636,0.000002313373,0.004534996,0.001010705,0.0009365156,0.9736689,0.000001694521,0.007615531],"genre_scores_gemma":[0.2470261,0.003835501,0.0007889,0.001039063,0.002445023,0.000487487,0.7239797,0.00007998365,0.02031821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2496892,"threshold_uncertainty_score":0.4181549,"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."}}