{"id":"W6892215016","doi":"10.5065/d6ks6pmr","title":"SWL14 Marine Mammal Watch. Version 1.0","year":2015,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Marine mammal; Visibility; Sea ice; Trophic level; Sea lion; North sea","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005077103,0.002089566,0.001214148,0.002953433,0.0004458572,0.001312946,0.002244075,0.001376742,0.02887208],"category_scores_gemma":[0.002373613,0.000538228,0.001061914,0.005161166,0.0002891394,0.0009516331,0.001752527,0.001151831,0.05824666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007056191,"about_ca_system_score_gemma":0.0013076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02996931,"about_ca_topic_score_gemma":0.05938146,"domain_scores_codex":[0.9994456,0.00006648358,0.00007483431,0.0001677439,0.0001392009,0.0001061055],"domain_scores_gemma":[0.9992039,0.000140133,0.0001332184,0.0001673485,0.000228885,0.0001266149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004821829,0.00001831455,0.002445844,0.0004106793,0.00004139575,0.00002908028,0.00002563117,0.0003143208,0.0001674066,0.0001909181,0.9938673,0.002440951],"study_design_scores_gemma":[0.0002247307,0.00004063033,0.02244983,0.0002862879,0.00006025258,0.0001301709,0.0001164959,0.001134602,0.0005689053,0.0008613589,0.9740736,0.00005311574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000281065,0.00005334461,0.00004891598,0.0000264942,0.00001787455,0.000006059608,0.9988934,0.0003191259,0.0003537296],"genre_scores_gemma":[0.0003366944,0.00002412398,0.00009744344,0.00001687442,0.000004403333,0.0000199494,0.9992204,0.00003343472,0.000246783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02996931,"threshold_uncertainty_score":0.0965867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166434148475069,"score_gpt":0.2472122188865787,"score_spread":0.225547877401828,"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."}}