{"id":"W2162601136","doi":"10.1002/jez.b.22458","title":"Testing Inferences in Developmental Evolution: The Forensic Evidence Principle","year":2012,"lang":"en","type":"article","venue":"Journal of Experimental Zoology Part B Molecular and Developmental Evolution","topic":"Paleontology and Evolutionary Biology","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; John Templeton Foundation","keywords":"Falsifiability; Novelty; Evolutionary developmental biology; Inference; Order (exchange); Character (mathematics); Computer science; Psychology; Evolutionary biology; Cognitive psychology; Cognitive science; Biology; Epistemology; Artificial intelligence; Mathematics; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1168607,0.001618845,0.003268981,0.008412293,0.004543292,0.008308609,0.006481468,0.01026669,0.004631221],"category_scores_gemma":[0.3066878,0.001579994,0.003798559,0.003922347,0.05198441,0.0224822,0.01435851,0.01106444,0.000681262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002781052,"about_ca_system_score_gemma":0.003948644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151856,"about_ca_topic_score_gemma":0.0007773553,"domain_scores_codex":[0.9130322,0.05697481,0.004455028,0.01132559,0.01299612,0.00121627],"domain_scores_gemma":[0.5613233,0.3963736,0.01033806,0.02267863,0.00778143,0.00150504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009213376,0.00003949878,0.003076145,0.000320612,0.0002275362,0.0005324267,0.0006220464,0.002755977,0.0005582562,0.9614684,0.001132357,0.02917465],"study_design_scores_gemma":[0.0000479837,0.00004187317,0.0005851155,0.000114309,0.00003880979,0.0004038689,0.0001284082,0.005127409,0.0005649951,0.989969,0.002947189,0.00003112029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0255544,0.003191228,0.9207813,0.02524326,0.0005987188,0.0003130726,0.0004825183,0.0002308395,0.02360465],"genre_scores_gemma":[0.5295741,0.001793548,0.4567582,0.006997914,0.001498147,0.001033851,0.0004799298,0.0001161024,0.00174817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1168607,"threshold_uncertainty_score":0.6180258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04405023028166883,"score_gpt":0.2664525509275832,"score_spread":0.2224023206459144,"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."}}