{"id":"W6890293642","doi":"10.34943/df2ac3c2-323f-4dde-996a-2cb26d305fab","title":"Pointe Heath Automatic Identification Systems Receiver Deployed 2016-01-01","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic Identification System; Identification (biology); Software deployment; Range (aeronautics); Data quality; Track (disk drive)","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":[0.0006554039,0.001407594,0.0007348484,0.002741699,0.000815002,0.001195161,0.00187707,0.0009160523,0.009056818],"category_scores_gemma":[0.003199863,0.0003215889,0.0004350098,0.004563496,0.0003996108,0.0009180431,0.00117623,0.00113294,0.0171905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002995544,"about_ca_system_score_gemma":0.004591507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4968454,"about_ca_topic_score_gemma":0.6416415,"domain_scores_codex":[0.9991727,0.00005930174,0.00005319597,0.000165913,0.0003847537,0.0001640966],"domain_scores_gemma":[0.9981233,0.0001092273,0.0001037476,0.0002918027,0.001193293,0.0001785538],"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":[0.00006151244,0.00002879702,0.004095538,0.0001357566,0.00001856681,0.00004786597,0.00005418197,0.0008468317,0.000178622,0.0004530019,0.9901911,0.003888157],"study_design_scores_gemma":[0.00008862283,0.00001939301,0.0258083,0.0001980563,0.00001789263,0.00007060542,0.0003760023,0.002127908,0.0008045553,0.0007279914,0.9697163,0.00004444284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001591766,0.00007697121,0.0001278557,0.0001097248,0.00005611718,0.00002124942,0.9955727,0.0003943868,0.002049332],"genre_scores_gemma":[0.002055806,0.00004626397,0.0002766828,0.00002362277,0.000009103636,0.00003042918,0.9958125,0.00003990079,0.00170569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5031546,"threshold_uncertainty_score":0.9879068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00812616431459025,"score_gpt":0.2150838654666292,"score_spread":0.2069577011520389,"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."}}