{"id":"W4398287290","doi":"10.7910/dvn/eqcc1/uxjnn9","title":"Scotia07-09.posit","year":2015,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Oceanography; Mooring; Hydrophone; Nova scotia; Geology; Fishery; Biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004258398,0.00058809,0.000513979,0.0002050706,0.0003589935,0.0005385429,0.00349006,0.0003724598,0.003674555],"category_scores_gemma":[0.0001495392,0.000651983,0.0001825025,0.0007309342,0.0002926127,0.001456992,0.002507927,0.0006986114,0.3840018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003300034,"about_ca_system_score_gemma":0.0006365626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002805603,"about_ca_topic_score_gemma":0.00006133431,"domain_scores_codex":[0.996395,0.0001413735,0.0006571569,0.001273368,0.0008778177,0.0006552693],"domain_scores_gemma":[0.9952058,0.0001736273,0.0004517957,0.003047759,0.0005905714,0.0005304243],"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":[0.000008984654,0.0002093562,0.000001762802,0.00006223941,0.00004373072,0.0001038841,0.00004299189,0.0007104028,0.00001803313,0.0641741,0.9286597,0.005964777],"study_design_scores_gemma":[0.000329753,0.0001243081,0.00001472493,0.0001758552,0.00008384872,0.0001555425,0.0000129737,0.01083718,0.00005901761,0.01497874,0.9725447,0.0006833085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002157594,0.000009950226,0.3903003,0.000176827,0.0007669903,0.0004488832,0.606964,0.0002077467,0.001123152],"genre_scores_gemma":[0.00001571248,0.000322116,0.1669301,0.001209562,0.0006196964,0.0001204963,0.8279473,0.00003702957,0.00279803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3803273,"threshold_uncertainty_score":0.9995931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166645955036669,"score_gpt":0.298686271629197,"score_spread":0.2570198120788303,"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."}}