{"id":"W6885901336","doi":"10.1371/journal.pone.0296892.s003","title":"PRISMA checklist.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anxiety; Biopsychosocial model; Cancer; Depression (economics); Risk factor; Loneliness; Risk assessment; Risk perception","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.07755395,0.004677046,0.01086543,0.02084416,0.003678958,0.01009059,0.0085011,0.005318112,0.3515887],"category_scores_gemma":[0.1951797,0.005727164,0.0166381,0.0196004,0.003809084,0.006005724,0.00794293,0.008294449,0.03104205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0122078,"about_ca_system_score_gemma":0.06158585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01306209,"about_ca_topic_score_gemma":0.01761096,"domain_scores_codex":[0.9324746,0.02734541,0.02854911,0.004861455,0.005176433,0.001592941],"domain_scores_gemma":[0.8044841,0.1242892,0.01830483,0.01563185,0.03499275,0.002297235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001410995,0.0001636399,0.0004561903,0.6725677,0.001892697,0.0002065617,0.001435034,0.001004448,0.0003033647,0.0103978,0.2717028,0.03845869],"study_design_scores_gemma":[0.008787713,0.0002779854,0.002951663,0.3083518,0.002872066,0.0002792949,0.002559297,0.001503889,0.0007435749,0.027857,0.6433808,0.000434835],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001042751,0.007446415,0.01628638,0.01070208,0.003998008,0.40958,0.536314,0.005064342,0.009565932],"genre_scores_gemma":[0.001709205,0.002589079,0.04021705,0.001222726,0.0001474878,0.9321816,0.01811682,0.0004792642,0.003336783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3515887,"threshold_uncertainty_score":0.92488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159053027717971,"score_gpt":0.2973330419521614,"score_spread":0.2657425116749817,"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."}}