{"id":"W7002968611","doi":"","title":"Freelance WTC7 5","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Byte; Shot (pellet); Government (linguistics); Quarter (Canadian coin)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001133262,0.002209054,0.001926162,0.003666855,0.00120917,0.003631578,0.00490003,0.002063307,0.8137737],"category_scores_gemma":[0.002139983,0.001932946,0.001521806,0.002328036,0.0007276027,0.002518271,0.002343112,0.00303636,0.7789252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009200852,"about_ca_system_score_gemma":0.001480906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120919,"about_ca_topic_score_gemma":0.00582945,"domain_scores_codex":[0.9987835,0.00008356496,0.00009127773,0.0002718122,0.0005862153,0.0001835515],"domain_scores_gemma":[0.9983934,0.0002017793,0.00005760001,0.0006661406,0.0004341507,0.0002468918],"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":[0.0001998259,0.00005744922,0.00009260978,0.0005128442,0.00002578392,0.0001050593,0.00005005308,0.0002794925,0.02516147,0.003277203,0.8952394,0.07499876],"study_design_scores_gemma":[0.0000782909,0.00003248051,0.0004872546,0.0001169949,0.00001719013,0.0002423937,0.00001773418,0.0007627725,0.01790071,0.001078089,0.979235,0.00003106906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001855627,0.001587454,0.08808358,0.001167188,0.00197448,0.0007024916,0.06357602,0.1982992,0.642754],"genre_scores_gemma":[0.007939039,0.001790704,0.03803247,0.0008663739,0.0002446733,0.001214697,0.06297693,0.07381275,0.8131225],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1862263,"threshold_uncertainty_score":0.2656292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002986451454674061,"score_gpt":0.1902405862391018,"score_spread":0.1872541347844278,"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."}}