{"id":"W6935941343","doi":"10.57745/1r5ftw","title":"Malabar_rbcL.count","year":2022,"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":"Process (computing); Identification (biology); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.01059998,0.00115808,0.001256016,0.0004340045,0.0003764135,0.000259534,0.01386734,0.001710387,0.1723074],"category_scores_gemma":[0.00606194,0.001271958,0.0001874297,0.002239412,0.0002745472,0.00090049,0.007253399,0.008944389,0.04336599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001976357,"about_ca_system_score_gemma":0.001377226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379769,"about_ca_topic_score_gemma":0.0008295614,"domain_scores_codex":[0.9894249,0.003371622,0.001010663,0.002960347,0.001946922,0.001285475],"domain_scores_gemma":[0.9809384,0.001517147,0.0008733912,0.01618151,0.0001614782,0.0003280303],"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":[0.00006876789,0.0003107927,0.00001113702,0.0003804556,0.0002320121,0.0002209689,0.00002306761,0.00001011169,0.00008557046,0.00000894704,0.9967344,0.001913815],"study_design_scores_gemma":[0.0005908951,0.00005887711,0.00004710019,0.0001301424,0.0003046851,0.00009038541,0.00003890324,0.00006815455,0.00002156221,0.000113007,0.9971564,0.001379909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007357826,0.00594092,0.00003681744,0.0002527509,0.001784172,0.000940938,0.9900653,0.0004247347,0.000546979],"genre_scores_gemma":[1.823694e-7,0.003990064,0.003223744,0.00100646,0.0008368025,0.0003084366,0.9859173,0.0003996065,0.004317429],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1289414,"threshold_uncertainty_score":0.9995856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3825204234519212,"score_gpt":0.4329797939227009,"score_spread":0.05045937047077975,"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."}}