{"id":"W1993346020","doi":"10.1503/cmaj.070853","title":"Environment as catalyst","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watson; Helix (gastropod); Computer science; Biology; Artificial intelligence; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00259728,0.0005996648,0.0005093907,0.0008203076,0.002495023,0.007108534,0.001411104,0.002729182,0.02478479],"category_scores_gemma":[0.002993388,0.0003116018,0.0003078111,0.0006974459,0.009163789,0.006169538,0.007465295,0.003157965,0.0050923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002512536,"about_ca_system_score_gemma":0.003587913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002082314,"about_ca_topic_score_gemma":0.002645081,"domain_scores_codex":[0.9982187,0.0005321566,0.00005278509,0.0003653193,0.0003917621,0.0004391661],"domain_scores_gemma":[0.9985656,0.0004710243,0.000127247,0.000169921,0.0002382943,0.0004279124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003295732,0.00004379359,0.000483332,0.0001735686,0.00002417151,0.0002453452,0.001361666,0.0002982232,0.0006655962,0.9342214,0.0373973,0.02505262],"study_design_scores_gemma":[0.00001225695,0.00003408252,0.0001857774,0.000210392,0.00001004119,0.0000872169,0.0008977395,0.0001079266,0.000839378,0.1811642,0.8164372,0.00001384275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01342706,0.03452225,0.01981806,0.0727623,0.009198552,0.0001411348,0.0003058857,0.0003146435,0.8495102],"genre_scores_gemma":[0.6044955,0.04254667,0.009685832,0.03534874,0.003128866,0.0003417809,0.0003502516,0.000497135,0.3036053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02478479,"threshold_uncertainty_score":0.08291334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007099772341544314,"score_gpt":0.2506706425604179,"score_spread":0.2435708702188736,"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."}}