{"id":"W7133269723","doi":"","title":"Harbour seal population assessment","year":2024,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harbour; Fishing; Abundance (ecology); Whale; Population; Predation; Herring","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":[0.001101982,0.0006423882,0.0004115114,0.003338412,0.0006154419,0.0005674108,0.001295709,0.0005119204,0.00782331],"category_scores_gemma":[0.002241633,0.0002708611,0.0007843408,0.001227403,0.0002316877,0.0004625796,0.001016227,0.0004705543,0.002867152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813288,"about_ca_system_score_gemma":0.002701523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2031752,"about_ca_topic_score_gemma":0.4548056,"domain_scores_codex":[0.9991623,0.00005438965,0.00009060917,0.0001298578,0.0004212844,0.0001415409],"domain_scores_gemma":[0.9985275,0.00004564647,0.0002347436,0.00006991764,0.0009623733,0.0001597768],"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":[0.0002391224,0.0001427658,0.8536214,0.0005109949,0.0001896513,0.0006442092,0.001288371,0.001823452,0.00170344,0.001385725,0.05196294,0.08648807],"study_design_scores_gemma":[0.00001949396,0.0002350296,0.9112487,0.0002432217,0.00008711911,0.0003609444,0.0008345917,0.001884851,0.0005031751,0.0003369831,0.08420713,0.00003876793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7215849,0.001866096,0.007955333,0.000590123,0.0002313599,0.005026295,0.1326648,0.001044968,0.1290361],"genre_scores_gemma":[0.7405104,0.002451831,0.01860663,0.0005169144,0.00009620604,0.003762076,0.1455838,0.0001817032,0.08829033],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2031752,"threshold_uncertainty_score":0.4039852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009476243009521488,"score_gpt":0.2648188625426246,"score_spread":0.2553426195331031,"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."}}