{"id":"W6917401758","doi":"10.57745/xla6dl","title":"MARE.20220802.recipeA.gff3","year":2023,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001389401,0.005290834,0.002167201,0.004066053,0.001349959,0.003684807,0.004587594,0.004497878,0.1389059],"category_scores_gemma":[0.006169492,0.001471329,0.002958478,0.005258076,0.0008285571,0.002391167,0.002262109,0.003066197,0.238612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00263995,"about_ca_system_score_gemma":0.002925533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05012137,"about_ca_topic_score_gemma":0.06598969,"domain_scores_codex":[0.998466,0.0003092909,0.0001238468,0.0005284456,0.0003253907,0.000247092],"domain_scores_gemma":[0.9977599,0.0006575208,0.000107531,0.0007394218,0.0005167264,0.0002188509],"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":[0.00005765627,0.00001999236,0.0001587178,0.0003201723,0.00002504163,0.00001136992,0.00001153465,0.0002884197,0.0001034014,0.0003374431,0.99743,0.001236277],"study_design_scores_gemma":[0.0004869319,0.00003220451,0.001445064,0.0001494039,0.00002717041,0.00005275576,0.0000543636,0.001248641,0.0006894327,0.001715331,0.9940486,0.00005004576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001299074,0.00009259824,0.000123249,0.00009603897,0.00005439169,0.00001166762,0.996009,0.002600483,0.0008826207],"genre_scores_gemma":[0.0003108628,0.00004247039,0.0004109844,0.00005364031,0.00001010441,0.00004288926,0.9978893,0.0004322208,0.000807514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8610941,"threshold_uncertainty_score":0.4646867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5683445255668504,"score_gpt":0.4758272672819199,"score_spread":0.09251725828493051,"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."}}