{"id":"W7099539334","doi":"","title":"eiders Somateria mollissima borealis in Greenland and Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Eider; Arctic; Perspective (graphical); Fishing","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":[0.0003110159,0.0003143387,0.0005164591,0.002089529,0.002413577,0.0009609863,0.000750422,0.0002551611,0.001085281],"category_scores_gemma":[0.0005052005,0.000230203,0.0002943994,0.002287433,0.0007983065,0.0004035009,0.0007675238,0.0003353322,0.0002020023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01498955,"about_ca_system_score_gemma":0.006728019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841126,"about_ca_topic_score_gemma":0.9973059,"domain_scores_codex":[0.9995793,0.00002515237,0.00001524838,0.0001011728,0.00007755896,0.0002015913],"domain_scores_gemma":[0.9991615,0.00003063941,0.0001637927,0.00002727468,0.0003640913,0.000252779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006877856,0.00005270778,0.9752346,0.00006037567,0.0001812455,0.0003467895,0.002740372,0.0003349521,0.008152349,0.0003361104,0.001227812,0.01064488],"study_design_scores_gemma":[0.000002980912,0.000009375862,0.9983368,0.000005136711,0.00001136992,0.00003649927,0.0009043197,0.00006824757,0.00008261124,0.00001110602,0.0005271441,0.000004300724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969266,0.0003411236,0.00007071486,0.00004327109,0.00000455069,0.00001173224,0.0009884487,0.00001190021,0.001601749],"genre_scores_gemma":[0.9973819,0.0001627467,0.0001566503,0.00005019092,0.000001426335,0.000006846178,0.0009595788,0.000006382338,0.001274359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01588744,"threshold_uncertainty_score":0.1087573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005088378883446364,"score_gpt":0.1592102619949527,"score_spread":0.1541218831115063,"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."}}