{"id":"W6992972109","doi":"","title":"Nematodes in cod – Spatial and Seasonal Analysis : Hringormar í þorski – útbreiðsla og árstíðasveiflur","year":2006,"lang":"en","type":"other","venue":"Opin vísindi (Opin vísindi)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Quarter (Canadian coin); Anisakis; Gadus; Aquatic animal; Nematode","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":[0.0004018563,0.0002135314,0.0001263464,0.00128956,0.0001528059,0.0003045268,0.0001745533,0.000124871,0.002270834],"category_scores_gemma":[0.0004612091,0.0001221282,0.0002054993,0.001241176,0.0001518645,0.0002063123,0.0003273985,0.0001235698,0.0005322747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003445637,"about_ca_system_score_gemma":0.0002934948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03942653,"about_ca_topic_score_gemma":0.06354266,"domain_scores_codex":[0.9997755,0.00002495967,0.00002701187,0.00006960075,0.00007387801,0.00002907642],"domain_scores_gemma":[0.9996588,0.00003848445,0.0001367409,0.00002434774,0.0001096644,0.00003198894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003513118,0.00006926546,0.9237313,0.0001337708,0.0001089436,0.0001985171,0.0001726712,0.0008026514,0.006720444,0.0001008856,0.001404076,0.06620613],"study_design_scores_gemma":[0.000003486837,0.00007491263,0.996213,0.0000235033,0.00002265526,0.0001331276,0.0001729761,0.0006700769,0.001093413,0.00002236357,0.001562724,0.000007743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884601,0.001633273,0.0008430266,0.00006059241,0.00001852496,0.00002611247,0.004277043,0.0000299702,0.004651419],"genre_scores_gemma":[0.982977,0.0008285061,0.002643218,0.00001540233,0.00001319383,0.00003143623,0.005993493,0.00002563622,0.007471942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03942653,"threshold_uncertainty_score":0.07839411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00709067380322312,"score_gpt":0.2467115803175643,"score_spread":0.2396209065143411,"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."}}