{"id":"W2981602101","doi":"10.4095/296203","title":"CCGS vector 2013007PGC cruise report","year":2015,"lang":"en","type":"report","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Cruise; Vector (molecular biology); Computer science; Aeronautics; Geography; Biology; Geology; Oceanography; Engineering; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002047498,0.0004238872,0.0005219144,0.00006527954,0.0001362475,0.00004287448,0.0004980394,0.0004630808,0.1559017],"category_scores_gemma":[0.0003254304,0.0003285617,0.0002294059,0.0002915364,0.0002072307,0.000125612,0.000242184,0.0004480219,0.004700075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000964008,"about_ca_system_score_gemma":0.0008615055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075985,"about_ca_topic_score_gemma":0.0005242379,"domain_scores_codex":[0.9947431,0.00002576771,0.0007570942,0.0009026763,0.003014585,0.0005567424],"domain_scores_gemma":[0.9978572,0.00002419153,0.0003000344,0.001102784,0.0001467921,0.0005690022],"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":[0.000004503842,0.0001322025,0.006232671,0.00002900616,0.00001218969,0.001045123,0.00002574849,0.00004629513,0.00005173044,0.000006439068,0.9865475,0.005866603],"study_design_scores_gemma":[0.0001112918,0.00004141967,0.01041009,0.00004312244,0.00005556834,0.0006747248,0.00001125972,0.00004464775,0.00003708502,0.00008262545,0.9880067,0.0004814513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001341395,0.0002681234,0.0002705427,0.0002136478,0.001282654,0.0003499017,0.00003299748,0.0001939301,0.9960468],"genre_scores_gemma":[0.02476323,0.00042264,0.001754078,0.0001031516,0.0004587968,0.0000489467,0.0003100616,0.00008746651,0.9720516],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1512016,"threshold_uncertainty_score":0.9999167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007483180469538,"score_gpt":0.2927809592544283,"score_spread":0.2527061274497329,"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."}}