{"id":"W6946513831","doi":"10.34943/73f83ac6-12d4-449a-88fa-0410168d5b76","title":"Colpoy's Bay Automatic Identification Systems Receiver Deployed 2016-01-01","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic Identification System; Bay; Software deployment; Identification (biology); Track (disk drive); Data quality","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":[0.0007490916,0.001569721,0.0007804233,0.002664467,0.0007949159,0.001410606,0.001878971,0.0009357771,0.009018809],"category_scores_gemma":[0.003490609,0.000355779,0.0005213912,0.004720168,0.0003974101,0.001087036,0.001240617,0.001339113,0.02312924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366784,"about_ca_system_score_gemma":0.003846658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.228686,"about_ca_topic_score_gemma":0.3764434,"domain_scores_codex":[0.9991345,0.00006807879,0.00006487282,0.0002074161,0.0003761897,0.0001489465],"domain_scores_gemma":[0.9982952,0.0001241311,0.0001263343,0.0003227174,0.0009446455,0.0001869184],"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":[0.00006378543,0.00002739962,0.002939238,0.0001737065,0.0000166216,0.00003963112,0.00004455043,0.0005153859,0.0002343365,0.000434019,0.9920939,0.003417459],"study_design_scores_gemma":[0.00008223936,0.00001508387,0.0160757,0.0001434927,0.0000133765,0.00004637705,0.0002055389,0.001121341,0.000762089,0.0006049727,0.9809021,0.00002770513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001047219,0.00006843606,0.0001043993,0.0001088023,0.00004854778,0.00001668478,0.996289,0.0005045312,0.001812365],"genre_scores_gemma":[0.001109081,0.00004032348,0.000256391,0.00002043785,0.000007102904,0.00002534918,0.9973052,0.00005168387,0.001184421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.771314,"threshold_uncertainty_score":0.4547098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008526166173060689,"score_gpt":0.2228731923092835,"score_spread":0.2143470261362228,"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."}}