{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.1111506,0.001248738,0.001264706,0.006681347,0.01267772,0.05974697,0.004615974,0.01415814,0.03056288],"category_scores_gemma":[0.2253327,0.001625645,0.002186529,0.006227035,0.01303034,0.02186089,0.01108257,0.02305361,0.02150792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01252111,"about_ca_system_score_gemma":0.06299302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00524164,"about_ca_topic_score_gemma":0.008844541,"domain_scores_codex":[0.9171334,0.01607044,0.007905888,0.005093343,0.04770849,0.006088433],"domain_scores_gemma":[0.5239877,0.1039206,0.02571072,0.02669781,0.134984,0.1846992],"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":[0.0001887793,0.0001178063,0.001720406,0.0004405398,0.00004267545,0.0006347113,0.001966786,0.0001582402,0.001884121,0.02684243,0.9176964,0.04830724],"study_design_scores_gemma":[0.00003467816,0.00008862821,0.001271754,0.000151126,0.0000104751,0.0002696328,0.001250964,0.0002212178,0.0005106532,0.004522815,0.9916211,0.00004689436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.00840138,0.004465702,0.007543203,0.7548645,0.1933345,0.0002711486,0.0008316976,0.003171847,0.02711609],"genre_scores_gemma":[0.1263726,0.01392486,0.06368486,0.390387,0.2052981,0.0007614546,0.00323145,0.00861972,0.1877199],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.940253,"threshold_uncertainty_score":0.5878277,"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."}}