{"id":"W6891991639","doi":"10.48579/pro/afxqrn/0ayunn","title":"MC-AC-484.stl","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":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001413281,0.001181759,0.001345976,0.001062447,0.0003420304,0.0005307336,0.008844431,0.0008796677,0.001923518],"category_scores_gemma":[0.002125802,0.001151967,0.0002040428,0.001408251,0.000444407,0.0007823668,0.006971672,0.001627977,0.6038821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481378,"about_ca_system_score_gemma":0.0005197847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169864,"about_ca_topic_score_gemma":0.01587424,"domain_scores_codex":[0.9929941,0.0003633748,0.001010399,0.002440661,0.001754897,0.001436568],"domain_scores_gemma":[0.986145,0.0005719366,0.0007420685,0.0119778,0.0001296473,0.0004335601],"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":[0.00008688462,0.0001536285,0.00002120012,0.0003510733,0.0003999793,0.0008651913,0.00001389312,0.000004077086,0.00002701152,0.00001663638,0.9976065,0.0004539019],"study_design_scores_gemma":[0.0007333767,0.00005617808,0.0006086828,0.0002921065,0.0004469645,0.00004548954,0.00004507156,0.00002640639,0.00002324677,0.0001078077,0.9963747,0.001239968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002560386,0.0007173701,0.00000154502,0.0001215713,0.002504834,0.0008008761,0.9946327,0.001010157,0.000185358],"genre_scores_gemma":[0.000001833696,0.0008657336,0.0001544319,0.0002937189,0.002297022,0.0001478053,0.9944804,0.0005435569,0.001215464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6019586,"threshold_uncertainty_score":0.9990931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415488372407161,"score_gpt":0.3822500349018373,"score_spread":0.2407011976611212,"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."}}