{"id":"W7124688626","doi":"10.25919/erk0-2681","title":"Long-term project observations for project P885 semester 2025OCTS_11","year":2025,"lang":"","type":"dataset","venue":"CSIRO","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Magnetar; Context (archaeology); Tracking (education); Process (computing); Order (exchange); Impulse (physics)","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","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001831564,0.003515053,0.003313193,0.003858883,0.001665535,0.001676623,0.004733146,0.002624172,0.00007908883],"category_scores_gemma":[0.003078402,0.00373444,0.001886488,0.005891876,0.0008151738,0.001641572,0.002204564,0.002434704,0.0003865745],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954746,"about_ca_system_score_gemma":0.01347465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005082633,"about_ca_topic_score_gemma":0.001860006,"domain_scores_codex":[0.9853491,0.000995772,0.003514494,0.004856482,0.001755302,0.003528864],"domain_scores_gemma":[0.9862278,0.001686976,0.002386445,0.007291299,0.00200724,0.0004003007],"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":[0.00096997,0.002336244,0.002177285,0.0134288,0.001898854,0.0001483584,0.0003664039,0.0000131406,0.0002601809,0.0001237124,0.9774179,0.0008591798],"study_design_scores_gemma":[0.005099185,0.0009605314,0.005975158,0.005218262,0.005089089,0.0000683636,0.0001128679,0.000398459,0.0001496391,0.00007734277,0.9733645,0.00348665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001718714,0.001941257,0.0006256285,0.0003376205,0.004942774,0.03150443,0.9580495,0.0005018561,0.0003781965],"genre_scores_gemma":[0.00002562025,0.0009084872,0.002510182,0.001047197,0.002267811,0.01362307,0.9417465,0.0005853893,0.03728577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03690758,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235183807622809,"score_gpt":0.3822250179547891,"score_spread":0.2587066371925082,"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."}}