{"id":"W7104282558","doi":"10.14286/3f6lsr","title":"OTN VR2W Loan - Emera Snow Crab and American Lobster","year":2014,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Subsea; Snow; Reef; Current (fluid); Benthic zone; Benthic habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000785791,0.0007462846,0.0006229173,0.002455834,0.0008232394,0.001603451,0.001179204,0.0007386506,0.06286077],"category_scores_gemma":[0.003159809,0.0004836651,0.0006851912,0.002791365,0.0003260271,0.001532937,0.002547194,0.0007600153,0.06937784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238128,"about_ca_system_score_gemma":0.002710449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1088711,"about_ca_topic_score_gemma":0.216615,"domain_scores_codex":[0.9991399,0.00006335408,0.00003938008,0.0002486822,0.0003514786,0.0001571139],"domain_scores_gemma":[0.9976815,0.0001373586,0.0001946444,0.0006714991,0.0009984727,0.0003164848],"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":[0.00008971078,0.00002235539,0.008875788,0.0001738797,0.0000231534,0.00006447566,0.00009092534,0.0002559244,0.0006191915,0.0006632467,0.9699209,0.01920053],"study_design_scores_gemma":[0.0000437426,0.00001762942,0.03471284,0.0001465829,0.0000148198,0.0001122779,0.0003203247,0.001000523,0.0008284046,0.0007685548,0.9620085,0.00002594346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005578429,0.0001355171,0.001783676,0.0003073569,0.0002239317,0.00009843419,0.9562041,0.003376392,0.03229222],"genre_scores_gemma":[0.004931469,0.00006623529,0.002748988,0.0001176805,0.00002726289,0.0001054253,0.9770188,0.0007194601,0.01426477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1088711,"threshold_uncertainty_score":0.216475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322556099042644,"score_gpt":0.3313816391929045,"score_spread":0.2991260292886401,"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."}}