{"id":"W6967063390","doi":"10.5061/dryad.9js2m/1","title":"Vertical distribution measurements of Meroplanktonic larvae and the environment. A Canadian Healthy Oceans Network Population Connectivity Project, PC-06.","year":2012,"lang":"en","type":"other","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Distribution (mathematics); Larva; Ectotherm; Ichthyoplankton","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":[0.0008458215,0.0008318258,0.0003239049,0.003257423,0.001671006,0.0008845621,0.001426212,0.0002966017,0.01668593],"category_scores_gemma":[0.001741622,0.0006059758,0.0004357338,0.008046871,0.0002870111,0.000452725,0.0007968514,0.0005001966,0.004236491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01047067,"about_ca_system_score_gemma":0.02138615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940539,"about_ca_topic_score_gemma":0.9974473,"domain_scores_codex":[0.9992374,0.00003792818,0.00003075759,0.00009420874,0.0004854177,0.0001143712],"domain_scores_gemma":[0.9984675,0.00003849339,0.0000761622,0.00006822618,0.001176203,0.0001733752],"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":[0.0003078804,0.000153906,0.1639226,0.0004201937,0.00007306998,0.0001412829,0.0006783276,0.001083673,0.002604407,0.001437118,0.6985699,0.1306077],"study_design_scores_gemma":[0.00005747578,0.00003629165,0.8365295,0.0001113763,0.00007348209,0.00005730535,0.0007088958,0.001054909,0.001630554,0.000154927,0.1595401,0.0000452366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03007311,0.001204096,0.002066257,0.0006950853,0.0001047608,0.0003748731,0.8670444,0.0005977923,0.0978396],"genre_scores_gemma":[0.1955999,0.002922136,0.01993928,0.0003900118,0.00004913198,0.0006657396,0.5492843,0.000580801,0.2305686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01668593,"threshold_uncertainty_score":0.07597041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814646320510911,"score_gpt":0.2496779241413673,"score_spread":0.2215314609362582,"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."}}