{"id":"W4394554988","doi":"10.6084/m9.figshare.899908","title":"iPath2 supplemental information","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005286634,0.0001501381,0.0001300432,0.0001132756,0.0001031737,0.000149535,0.000299553,0.0001470829,0.9216762],"category_scores_gemma":[0.0002882981,0.0001149777,0.00005763013,0.00008318752,0.000005638925,0.00026136,0.00001645544,0.0001607006,0.1204102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003364358,"about_ca_system_score_gemma":0.00005725816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001518671,"about_ca_topic_score_gemma":0.0002327938,"domain_scores_codex":[0.9992168,0.00006164523,0.000183828,0.0001238358,0.0002380713,0.0001758142],"domain_scores_gemma":[0.9993165,0.0001474861,0.0001624678,0.0002522342,0.00003480845,0.00008655041],"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":[0.000006629364,0.000002578725,0.00001547963,0.0001677237,0.000005358841,0.000002718232,0.000003507474,0.00002776968,1.736707e-8,6.464722e-8,0.994414,0.005354184],"study_design_scores_gemma":[0.00008993847,0.00005305722,0.002692803,0.0001845431,0.000006523301,0.00001467033,0.000005907269,0.0002497316,0.000003658672,8.836732e-7,0.9965321,0.0001662211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003730556,0.00006752591,1.267042e-7,0.00002818209,0.0001770443,0.0001898269,0.9988628,0.00002453977,0.0006462329],"genre_scores_gemma":[0.00007169272,0.000008698026,0.00001291993,0.0004963278,0.0002185934,0.000005419531,0.9990753,0.00000148586,0.0001095865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8012659,"threshold_uncertainty_score":0.8802746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499644292742892,"score_gpt":0.222944385192919,"score_spread":0.20794794226549,"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."}}