{"id":"W6945176412","doi":"10.21966/q5vm-8797","title":"Bulk and Size-Fractionated Chlorophyll and Phaeopigment Concentrations Collected by Niskin Bottle, BC, Canada (Research)","year":2017,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chlorophyll a; Phytoplankton; Chlorophyll; Filter (signal processing); CTD","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0005196736,0.0007213404,0.0007970036,0.0002151838,0.002615631,0.000725579,0.0007896547,0.0005031259,0.0007087448],"category_scores_gemma":[0.001696317,0.0007612176,0.00005377808,0.0004929207,0.002358199,0.0006645454,0.0005009991,0.001459546,0.0004855355],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604111,"about_ca_system_score_gemma":0.006012645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9176375,"about_ca_topic_score_gemma":0.966666,"domain_scores_codex":[0.9953431,0.0002665,0.000628917,0.001184684,0.001546686,0.001030045],"domain_scores_gemma":[0.9963012,0.0003961981,0.0005531093,0.001353768,0.0006762892,0.0007194],"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":[0.0001298085,0.0001581442,0.0000256714,0.0001350332,0.0003089843,0.0003459183,0.00002493249,0.000009520075,0.0004978146,0.0000554346,0.9981412,0.0001674825],"study_design_scores_gemma":[0.002137265,0.00008582627,0.001028465,0.0001976497,0.0001712613,0.0001000155,0.00003795627,0.00006325087,0.0002695346,0.00003363792,0.9951341,0.0007410921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005228155,0.001712383,0.000002065402,0.0007029364,0.001481296,0.001547829,0.9885105,0.00008649429,0.0007282674],"genre_scores_gemma":[0.006635138,0.0025348,0.00006997264,0.0002034664,0.0002964649,0.0002440716,0.9865444,0.000100321,0.003371374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04902856,"threshold_uncertainty_score":0.9996223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894386372275032,"score_gpt":0.3202101288387898,"score_spread":0.2912662651160395,"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."}}