{"id":"W6906468011","doi":"10.17605/osf.io/xk4ah","title":"Predictions","year":2015,"lang":"en","type":"article","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Process (computing); Identification (biology); Set (abstract data type); Work (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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003059453,0.00009377377,0.0001132854,0.0001492717,0.0004958699,0.001187151,0.004240689,0.00006311671,0.0003655854],"category_scores_gemma":[0.004245357,0.00008164372,0.00001930347,0.00381276,0.001090218,0.002143344,0.001417158,0.0002654413,0.01930029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002554919,"about_ca_system_score_gemma":0.001143887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001473338,"about_ca_topic_score_gemma":0.00001550359,"domain_scores_codex":[0.9979116,0.00004055538,0.0001473805,0.0004773094,0.0009616048,0.0004615098],"domain_scores_gemma":[0.9978896,0.00006432759,0.00006770126,0.001067162,0.0003246744,0.0005865138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008814612,0.0004526737,0.05380215,0.000002487969,0.00001519638,0.00002344666,0.007193337,0.00353527,0.004060928,0.5597889,0.3614363,0.009601122],"study_design_scores_gemma":[0.0007721368,0.0003170616,0.03947692,0.0001877849,0.00002652656,0.00006690236,0.003617896,0.009185118,0.003364085,0.3212404,0.6210078,0.0007373078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1364414,0.000066264,0.02313709,0.002553195,0.002835557,0.00102959,0.00004613646,0.0004144277,0.8334763],"genre_scores_gemma":[0.9234316,6.619802e-7,0.0740793,0.0004028625,0.0001381805,0.00004769965,0.000001337798,0.00002112337,0.001877254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8315991,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053032318118129,"score_gpt":0.405572434111296,"score_spread":0.3002692022994832,"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."}}