{"id":"W4309144556","doi":"10.26443/seismica.v1i1.255","title":"The launch of Seismica: a seismic shift in publishing","year":2022,"lang":"en","type":"article","venue":"Seismica","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Publishing; Public relations; Library science; Political science; Business; Computer science; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01391659,0.0001130796,0.0002178811,0.0003875329,0.0006361578,0.0009497244,0.003008045,0.00002830552,0.0003864286],"category_scores_gemma":[0.002847596,0.000079775,0.0001103022,0.002468665,0.0001727269,0.0004890484,0.002478339,0.000390746,0.00009584278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051537,"about_ca_system_score_gemma":0.0001287896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009082925,"about_ca_topic_score_gemma":0.0000804337,"domain_scores_codex":[0.9955609,0.0006044049,0.0008083312,0.0006625628,0.001944994,0.000418739],"domain_scores_gemma":[0.995968,0.002094145,0.0003023035,0.001466967,0.00009525037,0.00007326612],"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":[0.00005893474,0.0001878058,0.005728123,0.000008050304,0.00002149982,0.00004179426,0.003067798,0.05035608,0.00005983954,0.02692658,0.6401743,0.2733693],"study_design_scores_gemma":[0.0002337968,0.00002739964,0.00639735,0.000005526484,0.000002994554,0.000007258388,0.002652217,0.09259973,0.00001816164,0.06682142,0.831145,0.0000890672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531413,0.0006862236,0.01300018,0.099521,0.00457386,0.0005111051,0.000197514,0.000101161,0.02826766],"genre_scores_gemma":[0.9899032,0.000003891679,0.0002560476,0.001714317,0.00005172539,0.00002400652,0.00001216982,0.000008589915,0.008026029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2732802,"threshold_uncertainty_score":0.9158214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07987761019327656,"score_gpt":0.3350758280923828,"score_spread":0.2551982178991062,"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."}}