{"id":"W6891908055","doi":"10.48579/pro/afxqrn/stue9h","title":"Tensioner sprocket stop.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":"Sprocket; Compression (physics); Deformation (meteorology); Tension (geology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001410938,0.0012003,0.001338704,0.001159118,0.0003810999,0.0003831857,0.006556201,0.0009306539,0.001166712],"category_scores_gemma":[0.002776295,0.001059024,0.0001976894,0.001388914,0.0003964631,0.0007290618,0.007169584,0.001778914,0.5033433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120415,"about_ca_system_score_gemma":0.0005222547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006618319,"about_ca_topic_score_gemma":0.006488063,"domain_scores_codex":[0.9926769,0.0003480985,0.00101717,0.002612332,0.001962233,0.001383312],"domain_scores_gemma":[0.9868717,0.0005506058,0.000718708,0.01116774,0.0002428751,0.0004484261],"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":[0.0001147197,0.0001797083,0.00002325606,0.0002600189,0.0003297208,0.001025568,0.00001427994,0.000006564876,0.00006867739,0.000006398226,0.9976521,0.0003190431],"study_design_scores_gemma":[0.0008193554,0.00005955443,0.0005979695,0.0003279077,0.0005048119,0.00007057724,0.00006675205,0.0000418303,0.00003705213,0.00009815013,0.9961051,0.001270967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007347603,0.0005349343,0.000001465742,0.0001984726,0.002162861,0.0008835978,0.9951182,0.0009552889,0.00007171449],"genre_scores_gemma":[0.000003337647,0.000521921,0.0002041752,0.0005199416,0.002006494,0.0001200351,0.9944505,0.0005256207,0.001647981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5021766,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225209548231409,"score_gpt":0.3618652570789098,"score_spread":0.2393443022557689,"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."}}