{"id":"W2176611610","doi":"10.2983/0730-8000(2006)25[595:ispbgc]2.0.co;2","title":"INFERRING SHRIMP (PANDALUS BOREALIS) GROWTH CHARACTERISTICS FROM LIFE HISTORY STAGE STRUCTURE ANALYSIS","year":2006,"lang":"en","type":"article","venue":"Journal of Shellfish Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography","funders":"","keywords":"Carapace; Biology; Growth rate; Shrimp; Life history; Age structure; Stage (stratigraphy); Ecology; Crustacean; Population; Demography; Mathematics; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000428651,0.0003749523,0.0002884722,0.0004101657,0.0001886244,0.0003718774,0.0004387891,0.0004367963,0.0006047952],"category_scores_gemma":[0.001523445,0.000404929,0.0006416879,0.0002551248,0.0002191709,0.0004001279,0.0002796156,0.000286001,0.000109913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005952379,"about_ca_system_score_gemma":0.000544172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01568609,"about_ca_topic_score_gemma":0.01542956,"domain_scores_codex":[0.999908,0.00002530992,0.000006065797,0.00003840977,0.00000968528,0.00001256804],"domain_scores_gemma":[0.9995527,0.0002177011,0.0000972903,0.00003875074,0.00005623936,0.00003738547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001060988,0.00004031778,0.1037246,0.00003498319,0.00006803616,0.0001239436,0.00006906757,0.881692,0.007584218,0.000649474,0.0001249166,0.005782458],"study_design_scores_gemma":[0.00001842864,0.0001066047,0.03844223,0.000005727089,0.00003515103,0.00008008448,0.00002146646,0.9593958,0.001011844,0.0006684621,0.0001993062,0.00001482546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849161,0.00003682893,0.01415683,0.00002214893,0.000003379979,0.00001522033,0.0003745947,0.00005254458,0.0004224468],"genre_scores_gemma":[0.9917148,0.00003356897,0.007484173,0.000008633862,0.000002086655,0.00002099511,0.0004272254,0.000006993315,0.0003014381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01568609,"threshold_uncertainty_score":0.03118956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03794221077638214,"score_gpt":0.2856393536013946,"score_spread":0.2476971428250124,"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."}}