{"id":"W6909124619","doi":"10.34943/d37a56e9-5494-417f-82d6-9fd21f4f09de","title":"Red Head Mountain Automatic Identification Systems Receiver Deployed 2016-01-01","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic Identification System; Software deployment; Head (geology); Identification (biology); Track (disk drive); Range (aeronautics); Bay","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":[0.0008453892,0.00114228,0.0006460644,0.001881862,0.0005352989,0.0009890486,0.001468922,0.0007481795,0.008663466],"category_scores_gemma":[0.003633688,0.0002777326,0.0004644388,0.002798629,0.0002697411,0.0006290693,0.0009644415,0.0009842709,0.01836794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755088,"about_ca_system_score_gemma":0.002691317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1773342,"about_ca_topic_score_gemma":0.2781088,"domain_scores_codex":[0.9992979,0.00008595559,0.00006697116,0.0001834118,0.0002454295,0.0001203868],"domain_scores_gemma":[0.9984626,0.0001650396,0.0001322304,0.0002753742,0.0008104876,0.0001544154],"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":[0.0001413735,0.0000385836,0.007812222,0.000245798,0.00003181825,0.00007625642,0.00007499268,0.0008847116,0.0003317192,0.0005251151,0.9835958,0.006241445],"study_design_scores_gemma":[0.0001078241,0.00002915609,0.03429049,0.0002039509,0.00002774913,0.0001203926,0.0002838561,0.001759405,0.0009869084,0.0007669144,0.9613894,0.00003389308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001860338,0.00009855744,0.0001964492,0.0001199347,0.00004351556,0.0000202968,0.9952437,0.0004288621,0.001988322],"genre_scores_gemma":[0.001837599,0.0000484476,0.0003624456,0.00003314048,0.000009336742,0.00003080392,0.9962661,0.00003692729,0.001375274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1773342,"threshold_uncertainty_score":0.3526041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110396924433791,"score_gpt":0.2402128590490072,"score_spread":0.2291088898046693,"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."}}