{"id":"W4394079957","doi":"10.6084/m9.figshare.972970","title":"Ridgeia piscesae tube and body condition; A Canadian Healthy Oceans Network, Population Connectivity project, PC-11","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Tube (container); Geography; Oceanography; Geology; Engineering; Medicine; Environmental health; Mechanical engineering","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":[0.0007806144,0.001467728,0.0009523034,0.004217954,0.00132024,0.001304056,0.003234172,0.0008849102,0.01905317],"category_scores_gemma":[0.004267022,0.0007318963,0.000848126,0.01039627,0.0003437339,0.0005941695,0.001503811,0.00102363,0.00793831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005591889,"about_ca_system_score_gemma":0.01219631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9298079,"about_ca_topic_score_gemma":0.9606649,"domain_scores_codex":[0.9992668,0.00003690477,0.00007397673,0.00017805,0.0002686799,0.0001754858],"domain_scores_gemma":[0.9964985,0.0002291879,0.0004248193,0.0003521829,0.00210966,0.0003856856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001235729,0.00003838819,0.05591182,0.0008381706,0.0001918447,0.00004640062,0.0001776664,0.0006005038,0.0002373484,0.0004149786,0.9349891,0.006430229],"study_design_scores_gemma":[0.0002698055,0.00002366249,0.6310666,0.0005173454,0.0001849189,0.00007351618,0.0005405084,0.0008286543,0.000420943,0.0003082289,0.3656855,0.00008024063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001057929,0.00003460553,0.0000348406,0.00001573164,0.000004484427,0.00001612058,0.9984445,0.00003916592,0.0003526899],"genre_scores_gemma":[0.004247012,0.00005803797,0.0003064046,0.00002378321,0.000003066539,0.0001286698,0.9944078,0.00002218637,0.0008030376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0701921,"threshold_uncertainty_score":0.1412109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408100579315038,"score_gpt":0.2793337499580541,"score_spread":0.2452527441649037,"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."}}