{"id":"W7009803261","doi":"","title":"Eubalaena glacialis Bay of Cape Cod, Massachusetts 4/2/2010 Animal b Depth Profile","year":2010,"lang":"en","type":"dataset","venue":"Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community)","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cape; Bay; Sampling (signal processing); Transect; Nova scotia","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":[0.0004426577,0.001514173,0.0007823936,0.003935665,0.0007584287,0.001079491,0.001370886,0.0006640526,0.02588519],"category_scores_gemma":[0.001913765,0.000640708,0.0006023986,0.005344141,0.0001933433,0.0005551925,0.0009237666,0.000716796,0.02773927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430436,"about_ca_system_score_gemma":0.003291055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3050152,"about_ca_topic_score_gemma":0.4721321,"domain_scores_codex":[0.9996276,0.00001875259,0.00003586718,0.0001280213,0.0001041446,0.00008560628],"domain_scores_gemma":[0.9987006,0.00009690062,0.0001684512,0.0002993047,0.0005768473,0.0001578665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008812006,0.00002160241,0.008352104,0.000256251,0.0000437714,0.00003200207,0.00003815805,0.0003926275,0.0002997426,0.0001489201,0.9830224,0.007304289],"study_design_scores_gemma":[0.0001472972,0.00001645637,0.1309629,0.0003344731,0.00005633594,0.00004833867,0.0001970996,0.0009758893,0.001012045,0.0003387724,0.8658704,0.00003992592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008792019,0.00002639848,0.00006587757,0.00002022135,0.00001704294,0.00001217212,0.9979343,0.000224306,0.0008203997],"genre_scores_gemma":[0.001284162,0.0000406839,0.0002094544,0.00001260622,0.000004113421,0.00004916188,0.9969977,0.00004549793,0.001356629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3050152,"threshold_uncertainty_score":0.6064797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08179980778633805,"score_gpt":0.3400582222245564,"score_spread":0.2582584144382183,"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."}}