{"id":"W7126151063","doi":"10.25919/84g5-bk82","title":"Long-term project observations for project P885 semester 2025OCTS_13","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":[0.001868938,0.003548411,0.00332507,0.003903391,0.001700703,0.001815399,0.004781078,0.00263874,0.00008937631],"category_scores_gemma":[0.003349017,0.003758409,0.001896447,0.006172202,0.0008283022,0.00165011,0.002236885,0.002477176,0.0004427648],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945661,"about_ca_system_score_gemma":0.01355715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00049664,"about_ca_topic_score_gemma":0.001868846,"domain_scores_codex":[0.9851712,0.001013045,0.003613734,0.0048537,0.001773801,0.003574539],"domain_scores_gemma":[0.9859827,0.001807983,0.002455393,0.007285442,0.002061409,0.0004070983],"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":[0.0009156018,0.002220877,0.00248953,0.0137591,0.001928754,0.0001499634,0.0003724024,0.00001077723,0.0002541167,0.0001101393,0.9769465,0.0008422948],"study_design_scores_gemma":[0.005068942,0.0009414038,0.005851281,0.005308543,0.005087912,0.00007038468,0.0001269026,0.0003198347,0.0001425064,0.00006315867,0.9735417,0.00347742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001639635,0.002073475,0.0004697703,0.0003861735,0.005275504,0.03174868,0.9575061,0.0005149846,0.0003856331],"genre_scores_gemma":[0.00002045792,0.001036672,0.002392201,0.001153718,0.002360447,0.01351469,0.9359244,0.0005831706,0.04301421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04262858,"threshold_uncertainty_score":0.9998242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203380167341597,"score_gpt":0.3820984944973886,"score_spread":0.2617604777632289,"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."}}