{"id":"W6891904179","doi":"10.48579/pro/afxqrn/ccj14t","title":"Chain tension.FCStd","year":2023,"lang":"en","type":"dataset","venue":"data.InDoRES","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Chain (unit); Yield (engineering); Product (mathematics); Sequence (biology)","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":[0.001361336,0.004801543,0.001796692,0.004726294,0.001693328,0.003795496,0.004462231,0.004037617,0.1196766],"category_scores_gemma":[0.007428552,0.001354576,0.002492438,0.006955049,0.000875418,0.003313075,0.002762483,0.00303707,0.1850385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221886,"about_ca_system_score_gemma":0.00305085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03457876,"about_ca_topic_score_gemma":0.05374642,"domain_scores_codex":[0.9982442,0.0002975026,0.0001503139,0.000626027,0.0003616485,0.0003203854],"domain_scores_gemma":[0.9967991,0.0007083995,0.0001654464,0.001381569,0.000651676,0.0002938631],"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":[0.00006347607,0.00002787321,0.0002894984,0.0004146242,0.00002335765,0.00001241683,0.00001758018,0.0002782218,0.0001137199,0.0003892681,0.9965223,0.001847712],"study_design_scores_gemma":[0.0003391977,0.0000563163,0.00182616,0.0002608638,0.00003492403,0.00007130055,0.0001271075,0.001528075,0.0009357924,0.001940486,0.9928336,0.00004605995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002263111,0.0001038275,0.0001174136,0.0001141119,0.00006904852,0.00001519737,0.9958646,0.002246836,0.001242668],"genre_scores_gemma":[0.000371434,0.00005481895,0.0003105421,0.00004712633,0.00001015409,0.00003998465,0.9982365,0.0001895406,0.0007398117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8803234,"threshold_uncertainty_score":0.4003582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08863389858077378,"score_gpt":0.3418598151959483,"score_spread":0.2532259166151746,"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."}}