{"id":"W6973575300","doi":"10.57745/cpil96","title":"Raw_data_rmqs_2.tab","year":2024,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Work (physics); Product (mathematics); Field (mathematics); Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001465913,0.003281676,0.002142093,0.005180824,0.001040826,0.0039288,0.003570002,0.002903782,0.1720581],"category_scores_gemma":[0.009075071,0.001215537,0.00187353,0.008389973,0.0006036835,0.002068479,0.002129145,0.002279029,0.2283313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619841,"about_ca_system_score_gemma":0.002932783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0501798,"about_ca_topic_score_gemma":0.05523661,"domain_scores_codex":[0.9983568,0.0002450306,0.0001315751,0.0005274657,0.0004437157,0.0002953931],"domain_scores_gemma":[0.9958301,0.001260948,0.0002673825,0.001129926,0.001225323,0.000286293],"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":[0.00004102668,0.00001392242,0.0004787244,0.0002693975,0.00001916046,0.000008777488,0.00001347218,0.0002733895,0.00008937332,0.0003999037,0.9970745,0.001318338],"study_design_scores_gemma":[0.0002636187,0.00002202348,0.004566328,0.00020945,0.00002451575,0.00004917134,0.00007203724,0.0005644669,0.0005560704,0.001941308,0.9916834,0.00004775035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008268517,0.00003402086,0.00005783844,0.00004208988,0.00001958881,0.000005254118,0.9985758,0.0006040363,0.0005785778],"genre_scores_gemma":[0.0003767542,0.00003540963,0.0002462918,0.00004228632,0.00001088514,0.00003921235,0.9979879,0.0002828356,0.0009784739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8279419,"threshold_uncertainty_score":0.5755918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4314033427153155,"score_gpt":0.4668625195422946,"score_spread":0.03545917682697908,"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."}}