{"id":"W6887984011","doi":"10.17895/ices.pub.5690","title":"01 NIPAG - Report of the Joint NAFO/ICES Pandalus Assessment Working Group","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Joint (building); Group (periodic table); Research council; Working group","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01528648,0.0007763,0.0006187618,0.00430726,0.001812945,0.005327382,0.001644825,0.001901895,0.03011831],"category_scores_gemma":[0.02033705,0.0004892479,0.0005669622,0.003630546,0.0006930144,0.002165563,0.003507376,0.001611467,0.0126647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005268169,"about_ca_system_score_gemma":0.02230763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1095321,"about_ca_topic_score_gemma":0.1020678,"domain_scores_codex":[0.9918514,0.0009966154,0.0005886079,0.000445498,0.005467956,0.0006500455],"domain_scores_gemma":[0.9745608,0.002441136,0.002127219,0.001246316,0.01734405,0.002280493],"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":[0.0002065994,0.0001035704,0.02251447,0.0003738233,0.00003622375,0.0001759679,0.0005507973,0.0002193929,0.0004839091,0.002337566,0.9382476,0.03474992],"study_design_scores_gemma":[0.00002787073,0.00004996453,0.04171845,0.0004527386,0.00002965644,0.00006878698,0.001165696,0.0002048811,0.0008926662,0.0005689819,0.9547926,0.00002763378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0584015,0.00863017,0.004545855,0.06618902,0.01524276,0.003403612,0.3200849,0.001911105,0.5215911],"genre_scores_gemma":[0.1289962,0.007821622,0.01439058,0.01038446,0.002053842,0.00437842,0.3882803,0.001335656,0.442359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1095321,"threshold_uncertainty_score":0.2177892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.234854146366841,"score_gpt":0.391726347704159,"score_spread":0.1568722013373181,"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."}}