{"id":"W1992122149","doi":"10.1089/15383440260682044","title":"The 5th Annual Meeting of the Canadian Biopreservation Society","year":2002,"lang":"en","type":"article","venue":"Cell Preservation Technology","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biopreservation; Library science; Political science; Biology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004019394,0.00009925847,0.0001460843,0.000126592,0.0005837275,0.00001093115,0.0004291474,0.0003218438,0.00002493301],"category_scores_gemma":[0.001346274,0.00005958125,0.00007509393,0.001051108,0.0005380784,0.0001136958,0.0001424211,0.0004174954,0.00001123673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248867,"about_ca_system_score_gemma":0.0001353473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006591313,"about_ca_topic_score_gemma":0.008904926,"domain_scores_codex":[0.9988827,0.00003201465,0.000307255,0.0002370903,0.0002151948,0.000325709],"domain_scores_gemma":[0.9983228,0.000073071,0.0002066639,0.0009176676,0.0004333636,0.00004647419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004853538,0.0002242276,0.696569,0.000441789,0.0001182144,0.000003607425,0.00157726,0.00005991155,0.03139472,0.04723193,0.1727176,0.04961315],"study_design_scores_gemma":[0.001179994,0.0003424742,0.1223295,0.0001004756,0.00006358046,0.00002230049,0.003382709,0.005492034,0.2548807,0.02485243,0.5871068,0.0002469896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8144019,0.0022418,0.00005213817,0.1683503,0.0002272145,0.0009594079,0.00001043256,0.000296942,0.0134599],"genre_scores_gemma":[0.9952185,0.00031453,0.0008550973,0.0004044826,0.00004646062,0.00006072683,0.000004220585,0.00001256557,0.003083421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5742395,"threshold_uncertainty_score":0.9964138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308164483158568,"score_gpt":0.2643326064319975,"score_spread":0.2312509616004118,"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."}}