{"id":"W2150149056","doi":"","title":"THE CANADIAN ANALOGUE RESEARCH NETWORK (CARN): OPPORTUNITIES FOR TERRESTRIAL ANALOGUE STUDIES IN CANADA AND ABROAD. V. Hipkin","year":2007,"lang":"en","type":"article","venue":"Lunar and Planetary Science Conference","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Telecommunications; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.002473801,0.0002544612,0.0004253754,0.001820965,0.003660959,0.002629258,0.0008135007,0.0008637815,0.04855593],"category_scores_gemma":[0.00254871,0.0002415962,0.0002077012,0.003655601,0.001084167,0.001424891,0.00236699,0.001235668,0.002814196],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01135991,"about_ca_system_score_gemma":0.04938785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8999762,"about_ca_topic_score_gemma":0.9561675,"domain_scores_codex":[0.9994476,0.00007984202,0.00001407152,0.0000409504,0.0002534119,0.0001640252],"domain_scores_gemma":[0.9946644,0.0004678825,0.0001025798,0.0001150735,0.002830542,0.001819475],"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":[0.0001595014,0.00003558587,0.00958807,0.0002296741,0.00001884034,0.0002533463,0.0006806778,0.0004398476,0.0007412585,0.02252696,0.8185076,0.1468186],"study_design_scores_gemma":[0.00003075643,0.00003099745,0.02081475,0.0003249318,0.00001178114,0.0001141804,0.002411157,0.0004163554,0.0003429932,0.004483309,0.9709721,0.00004665652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02949811,0.08809564,0.009102531,0.3507433,0.008676239,0.0005727505,0.02637325,0.0007285593,0.4862096],"genre_scores_gemma":[0.2382077,0.06561484,0.02033931,0.01119582,0.0009680519,0.0002463515,0.007438841,0.0004069706,0.6555821],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9886401,"threshold_uncertainty_score":0.2012257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1812140478023137,"score_gpt":0.3359975075075518,"score_spread":0.1547834597052381,"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."}}