{"id":"W6886755190","doi":"10.15454/hnxeod/ucslap","title":"VR2AR-546377.txt","year":2020,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Ocean Tracking Network","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":[0.001718351,0.004478471,0.002342955,0.004827598,0.00121496,0.00454765,0.004460352,0.003769977,0.1818805],"category_scores_gemma":[0.008882842,0.001347845,0.002332934,0.00811479,0.000764543,0.002860516,0.002709638,0.002682071,0.3097594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096731,"about_ca_system_score_gemma":0.002710294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04249783,"about_ca_topic_score_gemma":0.04946279,"domain_scores_codex":[0.9978649,0.0004276554,0.0001960694,0.0006826585,0.0004984586,0.0003303599],"domain_scores_gemma":[0.9962566,0.001161578,0.0002272529,0.001162536,0.0008670749,0.000325031],"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":[0.00003679641,0.000009815722,0.00009757682,0.0002301955,0.00001679164,0.00000794461,0.0000102953,0.0001437435,0.00005569933,0.0002516521,0.998351,0.0007885383],"study_design_scores_gemma":[0.0002714193,0.00001944415,0.001051131,0.0001496856,0.0000214928,0.00003834032,0.00005715116,0.000498804,0.0003534517,0.001144006,0.9963625,0.00003257266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005781823,0.00005019404,0.00006817983,0.00007107534,0.00003380713,0.00000733128,0.997556,0.001323931,0.0008316656],"genre_scores_gemma":[0.0001761796,0.00003604408,0.0002008696,0.00004345175,0.000009425292,0.00003014791,0.998486,0.0003208908,0.0006969837],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8181195,"threshold_uncertainty_score":0.6084509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5534134553383777,"score_gpt":0.4553897591362248,"score_spread":0.0980236962021529,"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."}}