{"id":"W7100003705","doi":"","title":"Canadian Cataloguing in Publication Data","year":2008,"lang":"en","type":"article","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Corporation; Product (mathematics); Service (business); Information system","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":[0.002622374,0.002003819,0.002517423,0.02699026,0.006023741,0.01449128,0.003682695,0.00188662,0.7516171],"category_scores_gemma":[0.02272273,0.001224844,0.0009677301,0.0605236,0.001322884,0.005071031,0.002574432,0.002371689,0.7245828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01863498,"about_ca_system_score_gemma":0.07238639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5297711,"about_ca_topic_score_gemma":0.5650156,"domain_scores_codex":[0.9940965,0.0001844817,0.0005271276,0.0005321118,0.00403836,0.0006214219],"domain_scores_gemma":[0.9679539,0.001649705,0.0008675742,0.002904454,0.02410739,0.002516894],"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":[0.00001173263,0.000008804144,0.0001254933,0.0001822657,0.000002259115,0.00001723551,0.00003944795,0.00002606667,0.00007950731,0.003601737,0.9729649,0.02294057],"study_design_scores_gemma":[0.000002268298,0.000001771805,0.0003247598,0.00006579216,0.000001956348,0.00001061883,0.00002718361,0.00001664911,0.00003512182,0.0002771922,0.9992291,0.000007687008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000355062,0.002033409,0.0007750202,0.002424952,0.003568212,0.0002782264,0.3045644,0.002587216,0.6834135],"genre_scores_gemma":[0.001618395,0.004392143,0.00163917,0.000561765,0.0003347849,0.0001515679,0.1834726,0.001252336,0.8065771],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5297711,"threshold_uncertainty_score":0.9459963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216092387802978,"score_gpt":0.2701243720016558,"score_spread":0.2479634481236261,"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."}}