{"id":"W6902042106","doi":"10.6084/m9.figshare.15113325.v1","title":"Ecosphere Manuscript Data","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biological dispersal; Natural (archaeology); Biodiversity; Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001337162,0.001280158,0.001019685,0.00344314,0.001150148,0.002024221,0.002072438,0.0009031817,0.1501578],"category_scores_gemma":[0.007734257,0.000634555,0.0007206811,0.00668042,0.0004281413,0.0009315392,0.001515087,0.001214665,0.05838397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003313591,"about_ca_system_score_gemma":0.008946513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4869205,"about_ca_topic_score_gemma":0.6565069,"domain_scores_codex":[0.9990746,0.00008436961,0.00007335893,0.0001826157,0.0003819867,0.0002031347],"domain_scores_gemma":[0.9955437,0.001016806,0.0002698037,0.0006261757,0.002073448,0.0004701518],"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":[0.00001964767,0.000006385701,0.0007830247,0.000210613,0.00001709098,0.000009448783,0.00002825015,0.0002808992,0.00003793347,0.0004956679,0.9968592,0.001251818],"study_design_scores_gemma":[0.0001180085,0.000005482003,0.007263731,0.0001897084,0.00002257094,0.00001607137,0.00008304313,0.0003339067,0.0001690368,0.001162943,0.9906071,0.00002834112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005602771,0.00001205673,0.00002999099,0.0000185406,0.000006483353,0.000005410941,0.9993119,0.00007755464,0.0004819867],"genre_scores_gemma":[0.0005603765,0.00002790306,0.0003124111,0.00002809978,0.000004172082,0.00007286389,0.9974086,0.0001383818,0.001447095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4869205,"threshold_uncertainty_score":0.9681726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2221115541860142,"score_gpt":0.3397581588570673,"score_spread":0.1176466046710531,"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."}}