{"id":"W6977980188","doi":"10.7939/dvn/10871","title":"Video 2","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Video microscopy; Visualization; Recombinant DNA; Microscopy; Image processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005969717,0.002303938,0.001186488,0.004534829,0.0006516873,0.001789759,0.001466278,0.001373042,0.1734783],"category_scores_gemma":[0.003919475,0.0003977045,0.00130367,0.004630632,0.0003169698,0.001082818,0.00135888,0.001051909,0.1214771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081695,"about_ca_system_score_gemma":0.001715039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03206716,"about_ca_topic_score_gemma":0.08708631,"domain_scores_codex":[0.9994757,0.0000773329,0.00004528396,0.0001590667,0.0001387906,0.0001039062],"domain_scores_gemma":[0.9987122,0.0004648583,0.0001466286,0.0001692143,0.0003206625,0.0001864915],"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":[0.0001136002,0.00002852482,0.00191863,0.001834068,0.00005964084,0.0000358256,0.00003377103,0.0004722473,0.0003392273,0.0003709069,0.9889238,0.005869724],"study_design_scores_gemma":[0.0001183159,0.0000293415,0.007004375,0.0007415099,0.00006098119,0.00009654465,0.0001057278,0.000521244,0.0005151666,0.001000674,0.9897773,0.00002877088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001399993,0.0001356494,0.00006429622,0.00003200277,0.00002892089,0.00001439228,0.9983196,0.0003034674,0.0009616744],"genre_scores_gemma":[0.0005885009,0.0001486546,0.0004037984,0.00004399611,0.000009789494,0.00005221873,0.9975292,0.00007135847,0.001152532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8265218,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00849434028043327,"score_gpt":0.2147087558982765,"score_spread":0.2062144156178432,"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."}}