{"id":"W4292219796","doi":"","title":"Life+ Alosa alosa - Actions C1 D7: Final Irstea report 2011-2015","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Aquarium","funders":"","keywords":"Alosa; Fishery; Biology; Fish <Actinopterygii>","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":[],"consensus_categories":[],"category_scores_codex":[0.001569224,0.0005384632,0.0003469133,0.001319989,0.0007207,0.00163771,0.0007464436,0.000592143,0.03329251],"category_scores_gemma":[0.0007988879,0.0002457103,0.0004599824,0.0006657521,0.0002668918,0.0004853226,0.001772066,0.0005006259,0.01657387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177406,"about_ca_system_score_gemma":0.004411682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02403037,"about_ca_topic_score_gemma":0.03380203,"domain_scores_codex":[0.999072,0.00009084013,0.00005979714,0.0001129772,0.0005208171,0.0001435827],"domain_scores_gemma":[0.9988915,0.00005578607,0.000132441,0.00015357,0.0005709732,0.0001957205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002927366,0.0008258529,0.06665356,0.001954784,0.0001453465,0.001756174,0.0008547597,0.003124432,0.04651197,0.006700285,0.3858361,0.4827093],"study_design_scores_gemma":[0.00003993058,0.0005115055,0.05434513,0.0001937464,0.00002894573,0.0003884332,0.0003407229,0.0005487223,0.005750709,0.0005055481,0.9373195,0.00002717089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1823257,0.009218577,0.01446084,0.003032968,0.003348392,0.002742033,0.1386634,0.005127171,0.6410809],"genre_scores_gemma":[0.2293707,0.006964367,0.04092139,0.0009086521,0.0007566911,0.001447362,0.1684489,0.001293099,0.5498888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03329251,"threshold_uncertainty_score":0.1113745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085136089378141,"score_gpt":0.3398351324010241,"score_spread":0.23132152346321,"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."}}