{"id":"W6967504892","doi":"10.5281/zenodo.11345116","title":"Halichoerus grypus","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Temperate climate; Subspecies; Arctic; Zoogeography","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":[0.00008090774,0.0005297943,0.0002225458,0.0008189357,0.0007354442,0.0001914258,0.0002450672,0.0001994747,0.005608978],"category_scores_gemma":[0.0001947149,0.00009860867,0.0001059605,0.0003914329,0.000532825,0.0003574699,0.0006981482,0.0001789889,0.002463797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005313721,"about_ca_system_score_gemma":0.0001955294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009416094,"about_ca_topic_score_gemma":0.01828052,"domain_scores_codex":[0.9999055,0.00001026732,0.00000823712,0.00003287422,0.00002435198,0.00001880351],"domain_scores_gemma":[0.9999043,0.000009131529,0.00004815322,0.000008649748,0.00001573543,0.00001403669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001795067,0.0001638721,0.2749447,0.001378104,0.0001290238,0.003751669,0.004840998,0.001079743,0.0830761,0.006775831,0.02736728,0.5946977],"study_design_scores_gemma":[0.00006846205,0.0002519718,0.8403401,0.0002464739,0.00005837353,0.005097053,0.002203915,0.0003271847,0.00640973,0.001540374,0.1434349,0.00002151567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.840637,0.004208702,0.002034337,0.0004448007,0.0002734404,0.0001852498,0.002401609,0.0002634588,0.1495513],"genre_scores_gemma":[0.9819273,0.001263057,0.001315923,0.0001615939,0.00006769894,0.00003627844,0.0009890407,0.00002129106,0.01421778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009416094,"threshold_uncertainty_score":0.0187639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506028920025023,"score_gpt":0.2314179264005327,"score_spread":0.2063576372002825,"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."}}