{"id":"W6946799586","doi":"10.34943/1c60a3be-f6aa-4b69-af74-701f09f2ee2c","title":"Cambridge Bay Adapter Deployed 2016-08-25","year":2016,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Adapter (computing); Software deployment; Digital data; Variety (cybernetics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002131003,0.0005213592,0.0004152531,0.000008546597,0.0003518717,0.00007349607,0.0007736971,0.000471347,0.04500542],"category_scores_gemma":[0.00001647151,0.0004247336,0.0003144083,0.0001987074,0.0003045407,0.00008842815,0.0004530473,0.0005332336,0.000206559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003446974,"about_ca_system_score_gemma":0.0002502143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4231942,"about_ca_topic_score_gemma":0.8160709,"domain_scores_codex":[0.9970933,0.00006099164,0.00038424,0.0007121872,0.0007859291,0.0009633153],"domain_scores_gemma":[0.9983734,0.00008512773,0.0002515517,0.0008189278,0.00002122665,0.0004497689],"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":[0.000006188926,0.00002416782,0.0002919237,0.00001459041,0.00005689577,0.00002430991,0.000005161263,0.00003303964,0.000001067717,0.000007715887,0.9993375,0.0001974668],"study_design_scores_gemma":[0.0003342754,0.00001768047,0.002383281,0.00004377202,0.00006337881,0.000009030236,0.0001258608,0.00008268207,0.000001523378,0.00000132001,0.9963698,0.0005673765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002458878,0.0003070452,0.00003970525,0.0006530921,0.001273554,0.0002598751,0.9953833,0.00005799808,0.001779516],"genre_scores_gemma":[0.0009707058,0.002421358,0.000009445001,0.005877697,0.0005798148,0.00001538025,0.982875,0.00005378963,0.007196818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3928767,"threshold_uncertainty_score":0.9998205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009256021168110105,"score_gpt":0.1965231875263476,"score_spread":0.1872671663582375,"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."}}