{"id":"W4252913343","doi":"10.3410/f.13395967.14764068","title":"Faculty Opinions recommendation of Eco-Evolutionary dynamics enable coexistence via neighbor-dependent selection.","year":2011,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Selection (genetic algorithm); Dynamics (music); Evolutionary dynamics; Computer science; Evolutionary biology; Data science; Biology; Artificial intelligence; Psychology; Sociology","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":[0.001382162,0.00278714,0.001448668,0.003416644,0.001041468,0.003148931,0.003877079,0.003902606,0.03196454],"category_scores_gemma":[0.009557494,0.000671514,0.001998086,0.004770001,0.0004799366,0.001637606,0.002115048,0.001962699,0.05027457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761309,"about_ca_system_score_gemma":0.002483133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04090714,"about_ca_topic_score_gemma":0.1324298,"domain_scores_codex":[0.9988015,0.0002579537,0.0001036685,0.000366674,0.0002743414,0.0001958103],"domain_scores_gemma":[0.9977595,0.0006181239,0.0003027933,0.0005340801,0.0004950505,0.0002904436],"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":[0.0001079203,0.00004563195,0.004192684,0.0007424686,0.0001002977,0.00003366256,0.00002960093,0.0007989068,0.0001907266,0.0005311472,0.9890147,0.004212345],"study_design_scores_gemma":[0.0006037649,0.00005851675,0.02323608,0.0005471942,0.0002262869,0.0001925388,0.0001664157,0.006764382,0.001224235,0.003925669,0.962973,0.00008188403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009272828,0.0003611948,0.0002231192,0.000316379,0.0000989304,0.00002054713,0.9959154,0.0006960998,0.001441083],"genre_scores_gemma":[0.002292586,0.0001340041,0.0006943478,0.0001078017,0.00002954605,0.00005881092,0.9949463,0.00006207004,0.001674523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04090714,"threshold_uncertainty_score":0.106932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320682469855808,"score_gpt":0.3228233059259978,"score_spread":0.2996164812274398,"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."}}