{"id":"W2317380302","doi":"10.3354/meps11240","title":"Phenology and fitness of Calanus glacialis, C. finmarchicus (Copepoda), and their hybrids in the St. Lawrence Estuary","year":2015,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université Laval","funders":"Fisheries and Oceans Canada","keywords":"Calanus finmarchicus; Biology; Copepod; Hybrid; Calanus; Phenology; Ecology; Estuary; Zooplankton; Population; Crustacean; Demography; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001357604,0.0001079395,0.0001094432,0.000443815,0.0004507506,0.0003088291,0.0002172314,0.0001628381,0.0009030268],"category_scores_gemma":[0.0002851909,0.00009880435,0.0001335998,0.0004212573,0.0002137381,0.0001415581,0.0002621506,0.0001737465,0.000157587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494538,"about_ca_system_score_gemma":0.0005071616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2799703,"about_ca_topic_score_gemma":0.6257595,"domain_scores_codex":[0.9999223,0.00000728149,0.000004984499,0.00003105843,0.00001970011,0.00001468792],"domain_scores_gemma":[0.9996821,0.00003490349,0.0001026201,0.00001677347,0.00008759084,0.00007604888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009138781,0.0000264227,0.9921739,0.00001031641,0.00004832666,0.00003750487,0.0004178713,0.00008430256,0.004445164,0.00001928846,0.0001884579,0.002457176],"study_design_scores_gemma":[6.951017e-7,0.0000100496,0.9997323,6.461289e-7,0.00000259266,0.00001062632,0.0001109369,0.00003283544,0.00005306242,0.000001401219,0.00004407974,6.834968e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999559,0.00002987043,0.000007957993,0.000005847065,5.714715e-7,0.000001076113,0.0002231693,0.000001533264,0.0001708589],"genre_scores_gemma":[0.9990726,0.00002751967,0.00003965653,0.000008693191,8.379274e-7,0.000003332068,0.0004365879,0.00000110773,0.0004097196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7200297,"threshold_uncertainty_score":0.5566813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561038085823505,"score_gpt":0.2130048154838804,"score_spread":0.1973944346256454,"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."}}