{"id":"W4408854879","doi":"10.1525/sfs.35.3.0536","title":"CFP: Anticipations","year":2008,"lang":"en","type":"article","venue":"Science Fiction Studies","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002849611,0.0005052764,0.0002971108,0.002602361,0.003724362,0.008728613,0.0009594361,0.004269897,0.2316242],"category_scores_gemma":[0.02365945,0.0003007195,0.0004493538,0.00193384,0.002117114,0.005633242,0.0034742,0.005321336,0.05318537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004713477,"about_ca_system_score_gemma":0.004004137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0071109,"about_ca_topic_score_gemma":0.007709733,"domain_scores_codex":[0.9974602,0.0004767393,0.00008511297,0.000371444,0.001130827,0.0004757612],"domain_scores_gemma":[0.99064,0.003122387,0.0005119464,0.00118838,0.002850281,0.001686964],"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":[0.00005594976,0.00001739212,0.0003348826,0.00007096292,0.000002019963,0.0001448928,0.0003935407,0.0000799012,0.0001151886,0.1773228,0.7846152,0.03684736],"study_design_scores_gemma":[0.00001027207,0.00001230909,0.0005407733,0.00008806502,0.000002323051,0.0001379603,0.0002807273,0.0001680876,0.0001595386,0.03344172,0.9651468,0.00001146139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002618005,0.001496108,0.002698394,0.07019732,0.012605,0.00007605838,0.001984904,0.0007980799,0.907526],"genre_scores_gemma":[0.1362313,0.001902379,0.002780992,0.02579254,0.01277166,0.0001745011,0.00229452,0.001028344,0.8170237],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7683758,"threshold_uncertainty_score":0.7748602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2273857373735815,"score_gpt":0.29823853485598,"score_spread":0.07085279748239848,"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."}}