{"id":"W7109940718","doi":"10.25919/jcrs-j940","title":"Long-term project observations for project P885 semester 2025OCTS_07","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":[0.001989541,0.003581332,0.00335624,0.003776628,0.001725356,0.001805667,0.004812905,0.002727251,0.00008596517],"category_scores_gemma":[0.003562434,0.003794658,0.001921196,0.005905503,0.0008462013,0.001661763,0.002333223,0.002500666,0.0004071374],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896211,"about_ca_system_score_gemma":0.01329561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005043621,"about_ca_topic_score_gemma":0.001950008,"domain_scores_codex":[0.9850078,0.0009879236,0.003663883,0.004895816,0.00182531,0.003619247],"domain_scores_gemma":[0.9856796,0.001866229,0.002489633,0.007358216,0.002186136,0.000420144],"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":[0.001037339,0.002362277,0.002146484,0.01312508,0.002000624,0.0001636604,0.0003807621,0.000009718051,0.0002613869,0.0001305064,0.9774656,0.0009165088],"study_design_scores_gemma":[0.005099993,0.0009375204,0.005108509,0.005160018,0.004964782,0.00006795402,0.0001323004,0.000265367,0.0001980135,0.00006105481,0.9744877,0.003516841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009571583,0.001817322,0.0007313707,0.0004087946,0.005385645,0.03135074,0.9583481,0.0005176196,0.0004832662],"genre_scores_gemma":[0.00001457722,0.0009676949,0.002908283,0.001213306,0.00252393,0.01257166,0.9343309,0.0005860516,0.04488361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04440034,"threshold_uncertainty_score":0.9998006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223295754741247,"score_gpt":0.3840411938830358,"score_spread":0.261711618408911,"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."}}