{"id":"W1664483520","doi":"10.1126/science.308.5728.1529a","title":"Canadian Global Database May Move to Singapore After Loss of Funding","year":2005,"lang":"en","type":"article","venue":"Science","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada","funders":"","keywords":"Political science; Library science; Database; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004592736,0.001057582,0.001347149,0.00595224,0.006260464,0.008998035,0.003506233,0.004015033,0.2686708],"category_scores_gemma":[0.02023406,0.0007911854,0.001206332,0.01301797,0.001362125,0.004744785,0.005651678,0.002641696,0.1160687],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02677347,"about_ca_system_score_gemma":0.1235899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8949668,"about_ca_topic_score_gemma":0.9406586,"domain_scores_codex":[0.9962153,0.0002298319,0.0003562212,0.0003056969,0.002082915,0.0008099662],"domain_scores_gemma":[0.9730949,0.00102564,0.0004653978,0.00313036,0.01587939,0.006404357],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006221107,0.000007418427,0.0003801346,0.00004416186,0.000006843163,0.0000775048,0.00006143097,0.00002514221,0.000112249,0.001738305,0.9857414,0.01174315],"study_design_scores_gemma":[0.00002173238,0.000006822205,0.0013062,0.00004583447,0.000007189108,0.00003410731,0.0001617152,0.0001098109,0.0001454452,0.000469238,0.9976631,0.00002870815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005495797,0.002053101,0.003191808,0.1158229,0.009077158,0.001065634,0.2896487,0.01715399,0.5564909],"genre_scores_gemma":[0.02418251,0.002887383,0.01192527,0.02368486,0.0008390323,0.000630863,0.2793462,0.004358371,0.6521455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9954073,"threshold_uncertainty_score":0.8987933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008798588057326168,"score_gpt":0.2717714340498484,"score_spread":0.2629728459925222,"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."}}