{"id":"W7004773444","doi":"","title":"Merihistoria","year":2009,"lang":"fi","type":"other","venue":"Doria (University of Helsinki)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population; Value (mathematics)","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":[0.000175903,0.0004009211,0.0006551855,0.000290832,0.0001343243,0.00001726848,0.0007831897,0.0008965229,0.004529223],"category_scores_gemma":[0.00002738374,0.0005554509,0.0005584958,0.0002428285,0.0003380248,0.000008792637,0.0002560692,0.0002429273,0.0002458877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009715551,"about_ca_system_score_gemma":0.0001714683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006705627,"about_ca_topic_score_gemma":0.0006392675,"domain_scores_codex":[0.9983128,0.0001226437,0.0002115087,0.000737595,0.0002770656,0.0003384177],"domain_scores_gemma":[0.99813,0.000009787952,0.0004941783,0.001033571,0.0001922633,0.0001402294],"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":[0.0001981392,0.000348537,0.0000844155,0.000151962,0.0008988273,0.0001340108,0.0002799899,0.000001951764,0.2526357,0.0004240583,0.6950005,0.04984199],"study_design_scores_gemma":[0.0005369099,0.0003423095,0.0001279581,0.00009895715,0.0004652804,0.000007463042,0.0002032302,0.00001081403,0.01503789,0.0001162423,0.9825357,0.0005172941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003620087,0.005543912,0.0059484,0.000274,0.000313376,0.000395497,0.00007125202,0.00008420179,0.9837493],"genre_scores_gemma":[0.03689307,0.006245685,0.008436461,0.0001357808,0.0007940822,2.86715e-7,0.0007609726,0.0001510528,0.9465826],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2875352,"threshold_uncertainty_score":0.9996897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004588442357228426,"score_gpt":0.2008873513305379,"score_spread":0.1962989089733095,"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."}}