{"id":"W7099265413","doi":"","title":"Wind-Forced ydrodynarnics and Their nteraction Fish and P ance: A Ti-Series An","year":2015,"lang":"en","type":"article","venue":"","topic":"Innovation, Technology, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capelin; Population; Wind speed; Current (fluid); Larva; Population density; Abundance (ecology); Limanda","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":[0.0007381844,0.0003313112,0.0001707192,0.0006263363,0.0001567212,0.0004198109,0.0003109118,0.000186316,0.001183565],"category_scores_gemma":[0.002882713,0.0001434481,0.0002263103,0.0004410553,0.0001594945,0.0003966612,0.0002016151,0.0002529373,0.000321641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004510096,"about_ca_system_score_gemma":0.0003146437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007202562,"about_ca_topic_score_gemma":0.01234117,"domain_scores_codex":[0.9998161,0.00004017063,0.00001312575,0.00005451375,0.00006040577,0.00001571359],"domain_scores_gemma":[0.9989697,0.0003853371,0.0002627375,0.0001201478,0.00021607,0.00004610441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006849098,0.0003669164,0.5511124,0.0002160183,0.0004203758,0.0003435385,0.0002479385,0.2032323,0.02802862,0.003072306,0.002030388,0.2102443],"study_design_scores_gemma":[0.00002327815,0.0001022024,0.1307521,0.00001732866,0.00003125349,0.0001004713,0.00004493533,0.8632329,0.004084069,0.0004331631,0.001154596,0.00002375183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978929,0.0001643386,0.01800177,0.00007853838,0.00004527546,0.00002372498,0.0007378674,0.0001947477,0.001824753],"genre_scores_gemma":[0.9919809,0.00007688994,0.005714304,0.0000165222,0.00002161366,0.00002601494,0.0007823828,0.00003346589,0.001347794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007202562,"threshold_uncertainty_score":0.01432127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780068307345519,"score_gpt":0.3136919786832563,"score_spread":0.2758912956098011,"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."}}