{"id":"W6911107551","doi":"10.5065/d63t9f8h","title":"SWL11 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; Sea lion; Trophic level; 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":[0.0005311329,0.002248662,0.001243935,0.002925657,0.0004888659,0.001423882,0.002385569,0.001598942,0.03252514],"category_scores_gemma":[0.002526136,0.0005551023,0.001110464,0.005103412,0.000313504,0.001025432,0.00187368,0.001275883,0.06089715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007675271,"about_ca_system_score_gemma":0.001361935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03112636,"about_ca_topic_score_gemma":0.06546798,"domain_scores_codex":[0.999404,0.00007484388,0.00007883227,0.000173533,0.0001528552,0.0001159121],"domain_scores_gemma":[0.9991418,0.0001656585,0.0001292842,0.0001797345,0.0002446332,0.000138902],"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":[0.00004434179,0.00001698557,0.001853405,0.0003770898,0.00003494539,0.00003052931,0.00002190983,0.000324343,0.0001391649,0.0001751607,0.9948544,0.002127693],"study_design_scores_gemma":[0.0002385082,0.00004080709,0.01846979,0.0002821153,0.00005477961,0.0001444014,0.0001194705,0.001294171,0.000558081,0.0009066015,0.9778365,0.00005469556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002480365,0.00004977839,0.00004895465,0.00003186601,0.00001898994,0.000006281482,0.9988884,0.0003420512,0.0003656403],"genre_scores_gemma":[0.000311006,0.00002256205,0.00009630538,0.00001895769,0.000004289173,0.00001949435,0.9992245,0.00003361999,0.000269344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03252514,"threshold_uncertainty_score":0.1088074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234361297739825,"score_gpt":0.2471773995133575,"score_spread":0.2248337865359593,"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."}}